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ORCIDnpj Digital Medicine, Volume 4
Volume 4, 2021
- Ashley O'Donoghue
, Tenzin Dechen, Whitney Pavlova, Michael Boals, Garba Moussa, Manvi Madan, Aalok Thakkar, Frank J. DeFalco, Jennifer P. Stevens:
Author Correction: Reopening businesses and risk of COVID-19 transmission. - James A. Diao, Richard J. Chen, Joseph C. Kvedar:
Efficient cellular annotation of histopathology slides with real-time AI augmentation. - Leia Wedlund, Joseph C. Kvedar:
Simulated trials: in silico approach adds depth and nuance to the RCT gold-standard. - Qinmei Xu, Xianghao Zhan, Zhen Zhou, Yiheng Li, Peiyi Xie, Shu Zhang, Xiuli Li, Yizhou Yu, Changsheng Zhou, Longjiang Zhang, Olivier Gevaert, Guangming Lu:
AI-based analysis of CT images for rapid triage of COVID-19 patients. - Chuan Hong, Everett Neil Rush, Molei Liu, Doudou Zhou, Jiehuan Sun, Aaron Sonabend W., Victor M. Castro, Petra Schubert, Vidul Ayakulangara Panickan, Tianrun Cai, Lauren Costa, Zeling He, Nicholas B. Link, Ronald G. Hauser, J. Michael Gaziano, Shawn N. Murphy, George Ostrouchov, Yuk-Lam Ho, Edmon Begoli, Junwei Lu, Kelly Cho, Katherine P. Liao, Tianxi Cai:
Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data. - Zahra Shakeri Hossein Abad, Adrienne S. Kline, Madeena Sultana, Mohammad Noaeen, Elvira Nurmambetova, Filipe R. Lucini, Majed M. Al-Jefri, Joon Lee:
Digital public health surveillance: a systematic scoping review. - A. J. Venkatakrishnan, Colin Pawlowski, David Zemmour, Travis Hughes, Akash Anand, Gabriela Berner, Nikhil Kayal, Arjun Puranik, Ian Conrad, Sairam Bade, Rakesh Barve, Purushottam Sinha, John C. O'Horo, Andrew D. Badley, John D. Halamka, Venky Soundararajan:
Mapping each pre-existing condition's association to short-term and long-term COVID-19 complications. - Brett K. Beaulieu-Jones, William Yuan, Gabriel A. Brat, Andrew L. Beam, Griffin M. Weber, Marshall Ruffin, Isaac S. Kohane:
Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians? - Ryo Yokomizo, Akari Nakamura, Makoto Sato, Risa Nasu, Maaya Hine, Kevin Y. Urayama, Hiroshi Kishi, Haruhiko Sago, Aikou Okamoto, Akihiro Umezawa:
Smartphone application improves fertility treatment-related literacy in a large-scale virtual randomized controlled trial in Japan. - Michael L. Hodgkins, Meg Barron, Shireesha Jevaji, Stacy Lloyd:
Physician requirements for adoption of telehealth following the SARS-CoV-2 pandemic. - Allison Shapiro, Benjamin Bradshaw, Sabine Landes, Petra Kammann, Beatrice Bois De Fer, Wei-Nchih Lee, Robert Lange:
Author Correction: A novel digital approach to describe real world outcomes among patients with constipation. - Jeffrey M. Cochran, Zahra Heidary, Jonathan Knights:
Characterization of activity behavior using a digital medicine system and comparison to medication ingestion in patients with serious mental illness. - Nikhil Mahadevan, Yiorgos Christakis, Junrui Di, Jonathan Bruno, Yao Zhang, Earl Ray Dorsey, Wilfred R. Pigeon, Lisa A. Beck, Kevin Thomas, Yaqi Liu, Madisen Wicker, Chris R. Brooks, Nina Shaafi Kabiri, Jaspreet Bhangu, Carrie Northcott, Shyamal Patel:
Development of digital measures for nighttime scratch and sleep using wrist-worn wearable devices. - Walter De Brouwer, Chirag J. Patel, Arjun K. Manrai, Isaac R. Rodriguez-Chavez, Nirav R. Shah:
Empowering clinical research in a decentralized world. - Peter J. Colvonen:
Response To: Investigating sources of inaccuracy in wearable optical heart rate sensors. - Benjamin Kompa, Jasper Snoek, Andrew L. Beam:
Second opinion needed: communicating uncertainty in medical machine learning. - Tahereh Javaheri, Morteza Homayounfar, Zohreh Amoozgar, Reza Reiazi, Fatemeh Homayounieh, Engy Abbas, Azadeh Laali, Amir Reza Radmard, Mohammad Hadi Gharib, Seyed Ali Javad Mousavi, Omid Ghaemi, Rosa Babaei, Hadi Karimi Mobin, Mehdi Hosseinzadeh, Rana Jahanban-Esfahlan, Khaled Seidi, Mannudeep K. Kalra, Guanglan Zhang, Lubomir T. Chitkushev, Benjamin Haibe-Kains, Reza Malekzadeh, Reza Rawassizadeh:
CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images. - Matthew Smuck, Charles A. Odonkor, Jonathan K. Wilt, Nicolas Schmidt, Michael A. Swiernik:
The emerging clinical role of wearables: factors for successful implementation in healthcare. - Sharath Chandra Guntuku, Elissa V. Klinger, Haley J. McCalpin, Lyle H. Ungar, David A. Asch, Raina M. Merchant:
Social media language of healthcare super-utilizers. - Yuval Barak-Corren, Pradip Chaudhari, Jessica Perniciaro, Mark Waltzman, Andrew M. Fine, Ben Y. Reis:
Prediction across healthcare settings: a case study in predicting emergency department disposition. - Joy P. Ku, Ida Sim:
Mobile Health: making the leap to research and clinics. - Ning Shang, Atlas Khan, Fernanda Polubriaginof, Francesca Zanoni, Karla Mehl, David Fasel, Paul E. Drawz, Robert J. Carroll, Joshua C. Denny, Matthew A. Hathcock, Adelaide M. Arruda-Olson, Peggy L. Peissig, Richard A. Dart, Murray H. Brilliant, Eric B. Larson, David S. Carrell, Sarah A. Pendergrass, Shefali Setia Verma, Marylyn D. Ritchie, Barbara Benoit, Vivian S. Gainer, Elizabeth W. Karlson, Adam S. Gordon, Gail P. Jarvik, Ian B. Stanaway, David R. Crosslin, Sumit Mohan, Iuliana Ionita-Laza, Nicholas P. Tatonetti, Ali G. Gharavi, George Hripcsak, Chunhua Weng, Krzysztof Kiryluk:
Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies. - Mike D. Rinderknecht, Yannick Klopfenstein:
Predicting critical state after COVID-19 diagnosis: model development using a large US electronic health record dataset. - Yechan Mun, Inyoung Paik, Su-Jin Shin, Tae-Yeong Kwak, Hyeyoon Chang:
Yet Another Automated Gleason Grading System (YAAGGS) by weakly supervised deep learning. - Jana Fehr, Stefan Konigorski, Stephen Olivier, Resign Gunda, Ashmika Surujdeen, Dickman Gareta, Theresa Smit, Kathy Baisley, Sashen Moodley, Yumna Moosa, Willem Hanekom, Olivier Koole, Thumbi Ndung'u, Deenan Pillay, Alison D. Grant, Mark J. Siedner, Christoph Lippert, Emily B. Wong, Anand Ramnanan, Anele Mkhwanazi, Antony Rapulana, Anupa Singh, Ashentha Govender, Ayanda Zungu, Boitsholo Mfolo, Bongani Magwaza, Bongumenzi Ndlovu, Clive Mavimbela, Costa Criticos, Day Munatsi, Dilip Kalyan, Doctar Mlambo, Fezeka Mfeka, Freddy Mabetlela, Gregory Ording-Jespersen, Hannah Keal, Hlengiwe Dlamini, Hlengiwe Khathi, Hlobisile Chonco, Hlobisile Gumede, Hlolisile Khumalo, Hloniphile Ngubane, Hollis Shen, Hosea Kambonde, Innocentia Mpofana, Jabu Kwinda, Jaco Dreyer, Jade Cousins, Jaikrishna Kalideen, Janet Seeley, Kandaseelan Chetty, Kayleen Brien, Kennedy Nyamande, Kgaugelo Moropane, Khabonina Malomane, Khadija Khan, Khanyisani Buthelezi, Kimeshree Perumal, Kobus Herbst, Lindani Mthembu, Logan Pillay, Mandisi Dlamini, Mandlakayise Zikhali, Mbali Mbuyisa, Mbuti Mofokeng, Melusi Sibiya, Mlungisi Dube, Mosa Suleman, Mpumelelo Steto, Mzamo Buthelezi, Nagavelli Padayachi, Nceba Gqaleni, Ngcebo Mhlongo, Nokukhanya Ntshakala, Nomathamsanqa Majozi, Nombuyiselo Zondi, Nomfundo Luthuli, Nomfundo Ngema, Nompilo Buthelezi, Nonceba Mfeka, Nondumiso Khuluse, Nondumiso Mabaso, Nondumiso Zitha, Nonhlanhla Mfekayi, Nonhlanhla Mzimela, Nozipho Mbonambi, Ntombiyenhlanhla Mkhwanazi, Ntombiyenkosi Ntombela, Pamela Ramkalawon, Pfarelo Tshivase, Phakamani Mkhwanazi, Philippa Mathews, Phumelele Mthethwa, Phumla Ngcobo, Ramesh Jackpersad, Raynold Zondo, Rochelle Singh, Rose Myeni, Sanah Bucibo, Sandile Mthembu, Sashin Harilall, Senamile Makhari, Seneme Mchunu, Senzeni Mkhwanazi, Sibahle Gumbi, Siboniso Nene, Sibusiso Mhlongo, Sibusiso Mkhwanazi, Sibusiso Nsibande, Simphiwe Ntshangase, Siphephelo Dlamini, Sithembile Ngcobo, Siyabonga Nsibande, Siyabonga Nxumalo, Sizwe Ndlela, Skhumbuzo Mthombeni, Smangaliso Zulu, Sphiwe Clement Mthembu, Sphiwe Ntuli, Talente Ntimbane, Thabile Zondi, Thandeka Khoza, Thengokwakhe Nkosi, Thokozani Bhengu, Thokozani Simelane, Tshwaraganang Modise, Tumi Madolo, Velile Vellem, Welcome Petros Mthembu, Xolani Mkhize, Zamashandu Mbatha, Zinhle Buthelezi, Zinhle Mthembu, Zizile Sikhosana:
Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa. - Visar Berisha, Chelsea Krantsevich, P. Richard Hahn, Shira Hahn, Gautam Dasarathy, Pavan K. Turaga, Julie Liss:
Digital medicine and the curse of dimensionality. - Irene B. Meier, Max Bügler, Robbert L. Harms, Azizi Seixas, Arzu Çöltekin, Ioannis Tarnanas:
Using a Digital Neuro Signature to measure longitudinal individual-level change in Alzheimer's disease: the Altoida large cohort study. - Rishi J. Desai, Michael E. Matheny, Kevin Johnson, Keith Marsolo, Lesley H. Curtis, Jennifer C. Nelson, Patrick J. Heagerty, Judith C. Maro, Jeffery S. Brown, Sengwee Toh, Michael D. Nguyen, Robert Ball, Gerald J. Dal Pan, Shirley V. Wang, Joshua J. Gagne, Sebastian Schneeweiss:
Broadening the reach of the FDA Sentinel system: A roadmap for integrating electronic health record data in a causal analysis framework. - Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Jan Witowski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras:
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. - Yazeed Zoabi, Shira Deri-Rozov, Noam Shomron:
Machine learning-based prediction of COVID-19 diagnosis based on symptoms. - Akshay S. Chaudhari, Erik Mittra, Guido A. Davidzon, Praveen Gulaka, Harsh Gandhi, Adam Brown, Tao Zhang, Shyam Srinivas, Enhao Gong, Greg Zaharchuk, Hossein Jadvar:
Author Correction: Low-count whole-body PET with deep learning in a multicenter and externally validated study. - Anne M. Finucane, Hannah O'Donnell, Jean Lugton, Tilly Gibson-Watt, Connie Swenson, Claudia Pagliari:
Digital health interventions in palliative care: a systematic meta-review. - Nadav Rakocz, Jeffrey N. Chiang, Muneeswar G. Nittala, Giulia Corradetti, Liran Tiosano, Swetha Velaga, Michael Thompson, Brian L. Hill, Sriram Sankararaman, Jonathan L. Haines, Margaret A. Pericak-Vance, Dwight Stambolian, Srinivas R. Sadda, Eran Halperin:
Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging. - Ananyananda Dasari, Sakthi Kumar Arul Prakash, László A. Jeni, Conrad S. Tucker:
Evaluation of biases in remote photoplethysmography methods. - Supreeth P. Shashikumar, Gabriel Wardi, Atul Malhotra, Shamim Nemati:
Artificial intelligence sepsis prediction algorithm learns to say "I don't know". - Deven McGraw, Kenneth D. Mandl:
Privacy protections to encourage use of health-relevant digital data in a learning health system. - David S. Muntz:
Digital health: how to govern during a never-ending data tsunami. - Leia Wedlund, Joseph C. Kvedar:
Wearables as a tool for measuring therapeutic adherence in behavioral health. - Leia Wedlund, Joseph C. Kvedar:
Innovative new model predicts glucose levels without poking or prodding. - Brinnae Bent, Oana M. Enache, Benjamin Goldstein, Warren A. Kibbe, Jessilyn Dunn:
Reply: Matters Arising 'Investigating sources of inaccuracy in wearable optical heart rate sensors'. - Aravind Natarajan, Hao-Wei Su, Conor Heneghan, Leanna Blunt, Corey O'connor, Logan Niehaus:
Measurement of respiratory rate using wearable devices and applications to COVID-19 detection. - Jennifer L. Lee, Luca Foschini, S. Kumar, J. Juusola, J. Liska, M. Mercer, C. Tai, R. Buzzetti, M. Clement, X. Cos, L. Ji, N. Kanumilli, David Kerr, Eduard Montanya, Dirk Müller-Wieland, C. G. Ostenson, N. Skolnik, V. Woo, N. Burlet, M. Greenberg, Sandrine I. Samson:
Digital intervention increases influenza vaccination rates for people with diabetes in a decentralized randomized trial. - Jeremy Levy, Daniel Álvarez, Aviv A. Rosenberg, Alexandra Alexandrovich, Félix del Campo, Joachim A. Behar:
Digital oximetry biomarkers for assessing respiratory function: standards of measurement, physiological interpretation, and clinical use. - Jiarui Feng, Jennifer Lee, Zachary A. Vesoulis, Fuhai Li:
Predicting mortality risk for preterm infants using deep learning models with time-series vital sign data. - Vincent Wen-Sheng Tseng, Nachiappan Valliappan, Venky Ramachandran, Tanzeem Choudhury, Vidhya Navalpakkam:
Digital biomarker of mental fatigue. - Yulin Hswen, Amanda Zhang, John S. Brownstein:
Estimating the incidence of cocaine use and mortality with music lyrics about cocaine. - Sahar Hojjatinia, Elyse R. Daly, Timothy Hnat, Syed Monowar Hossain, Santosh Kumar, Constantino M. Lagoa, Inbal Nahum-Shani, Shahin Alan Samiei, Bonnie Spring, David E. Conroy:
Dynamic models of stress-smoking responses based on high-frequency sensor data. - Ashley Polhemus, Laura Delgado Ortiz, Gavin Brittain, Nikolaos Chynkiamis, Francesca Salis, Heiko Gaßner, Michaela Gross, Cameron Kirk, Rachele Rossanigo, Kristin Taraldsen, Diletta Balta, Sofie Breuls, Sara Buttery, Gabriela Cardenas, Christoph Endress, Julia Gugenhan, Alison Keogh, Felix Kluge, Sarah Koch, Maria Encarna Micó-Amigo, Corinna Nerz, Chloé Sieber, Parris Williams, Ronny Bergquist, Magda Bosch de Basea, Ellen E. Buckley, Clint Hansen, A. Stefanie Mikolaizak, Lars Schwickert, Kirsty Scott, Sabine Stallforth, Janet van Uem, Beatrix Vereijken, Andrea Cereatti, Heleen Demeyer, Nicholas Hopkinson, Walter Maetzler, Thierry Troosters, Ioannis Vogiatzis, Alison J. Yarnall, Clemens Becker, Judith Garcia-Aymerich, Letizia Leocani, Claudia Mazzà, Lynn Rochester, Basil Sharrack, Anja Frei, Milo A. Puhan:
Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes. - Allison Shapiro, Benjamin Bradshaw, Sabine Landes, Petra Kammann, Beatrice Bois De Fer, Wei-Nchih Lee, Robert Lange:
A novel digital approach to describe real world outcomes among patients with constipation. - Dylan M. Richards, Mackenzie J. Tweardy, Steven R. Steinhubl, David W. Chestek, Terry L. Vanden Hoek, Karen A. Larimer, Stephan W. Wegerich:
Wearable sensor derived decompensation index for continuous remote monitoring of COVID-19 diagnosed patients. - Elaine C. Khoong, Kristan Olazo, Natalie A. Rivadeneira, Sneha Thatipelli, Jill Barr-Walker, Valy Fontil, Courtney R. Lyles, Urmimala Sarkar:
Mobile health strategies for blood pressure self-management in urban populations with digital barriers: systematic review and meta-analyses. - Bernhard Kainz, Mattias P. Heinrich, Antonios Makropoulos, Jonas Oppenheimer, Ramin Mandegaran, Shrinivasan Sankar, Christopher Deane, Sven Mischkewitz, Fouad Al-Noor, Andrew C. Rawdin, Andreas Ruttloff, Matthew D. Stevenson, Peter Klein-Weigel, Nicola S. Curry:
Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning. - Ellery Wulczyn, David F. Steiner, Melissa Moran, Markus Plass, Robert Reihs, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Peter Regitnig, Po-Hsuan Cameron Chen, Narayan Hegde, Apaar Sadhwani, Robert MacDonald, Benny Ayalew, Gregory S. Corrado, Lily H. Peng, Daniel Tse, Heimo Müller, Zhaoyang Xu, Yun Liu, Martin C. Stumpe, Kurt Zatloukal, Craig H. Mermel:
Interpretable survival prediction for colorectal cancer using deep learning. - Maria Cucciniello, Francesco Petracca, Oriana Ciani, Rosanna Tarricone:
Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials. - Linh Pham, Thomas Harris, Mihael Varosanec, Vanessa Morgan, Peter Kosa, Bibiana Bielekova:
Smartphone-based symbol-digit modalities test reliably captures brain damage in multiple sclerosis. - Leia Wedlund, Joseph C. Kvedar:
New machine learning model predicts who may benefit most from COVID-19 vaccination. - Susanne Gaube, Harini Suresh, Martina Raue, Alexander Merritt, Seth J. Berkowitz, Eva Lermer, Joseph F. Coughlin, John V. Guttag, Errol Colak, Marzyeh Ghassemi:
Do as AI say: susceptibility in deployment of clinical decision-aids. - Qian Zhou, Zhihang Chen, Yiheng Cao, Sui Peng:
Clinical impact and quality of randomized controlled trials involving interventions evaluating artificial intelligence prediction tools: a systematic review. - Mathias Perslev, Sune Darkner, Lykke Kempfner, Miki Nikolic, Poul Jørgen Jennum, Christian Igel:
U-Sleep: resilient high-frequency sleep staging. - Akshay S. Chaudhari, Erik Mittra, Guido A. Davidzon, Praveen Gulaka, Harsh Gandhi, Adam Brown, Tao Zhang, Shyam Srinivas, Enhao Gong, Greg Zaharchuk, Hossein Jadvar:
Low-count whole-body PET with deep learning in a multicenter and externally validated study. - Ashley Wu, Matthew A. Scult, Emily D. Barnes, Jessica A. Betancourt, Avital Falk, Faith M. Gunning:
Smartphone apps for depression and anxiety: a systematic review and meta-analysis of techniques to increase engagement. - Berber T. Snoeijer, Mariska Burger, Shaoxiong Sun, Richard J. B. Dobson, Amos A. Folarin:
Measuring the effect of Non-Pharmaceutical Interventions (NPIs) on mobility during the COVID-19 pandemic using global mobility data. - Sangeeta Bhatia, Britta Lassmann, Emily Cohn, Angel N. Desai, Malwina Carrion, Moritz U. G. Kraemer, Mark Herringer, John S. Brownstein, Lawrence C. Madoff, Anne Cori, Pierre Nouvellet:
Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread. - Ania Syrowatka, Masha Kuznetsova, Ava Alsubai, Adam L. Beckman, Paul A. Bain, Kelly J. Thomas Craig, Jianying Hu, Gretchen Purcell Jackson, Kyu Rhee, David W. Bates:
Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases. - Yongli Xu, Man Hu, Hanruo Liu, Hao Yang, Huaizhou Wang, Shuai Lu, Tianwei Liang, Xiaoxing Li, Mai Xu, Liu Li, Huiqi Li, Xin Ji, Zhijun Wang, Li Li, Robert N. Weinreb, Ningli Wang:
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis. - Masha Krupenkin, Elad Yom-Tov, David Rothschild:
Vaccine advertising: preach to the converted or to the unaware? - Adam Sadilek, Luyang Liu, Dung Nguyen, Methun Kamruzzaman, Stylianos Serghiou, Benjamin Rader, Alex Ingerman, Stefan Mellem, Peter Kairouz, Elaine O. Nsoesie, Jamie Macfarlane, Anil Vullikanti, Madhav V. Marathe, Paul Eastham, John S. Brownstein, Blaise Agüera y Arcas, Michael D. Howell, John Hernandez:
Privacy-first health research with federated learning. - William J. Gordon, Andrea R. Coravos, Ariel Dora Stern:
Ushering in safe, effective, secure, and ethical medicine in the digital era. - Gabriel Alexander Salg, Maria-Katharina Ganten, Andreas Michael Bucher, Hannes Götz Kenngott, Matthias A. Fink, Constantin Seibold, Ricarda Fischbach, Kai Schlamp, Carlos Alberto Velandia, Philipp Fervers, Felix Doellinger, Anna Luger, Saif Afat, Uta Merle, Markus K. Diener, Philippe L. Pereira, Tobias Penzkofer, Thorsten Persigehl, Ahmed Othman, Claus Peter Heußel, Matthias Baumhauer, Gerlig Widmann, Konstantinos Stathopoulos, Bernd Hamm, Thomas J. Vogl, Konstantin Nikolaou, Hans-Ulrich Kauczor, Jens Kleesiek:
A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data. - Mariana Nikolova-Simons, Sara Bersche Golas, Jorn op den Buijs, Ramya Palacholla, Gary Garberg, Allison Orenstein, Joseph C. Kvedar:
A randomized trial examining the effect of predictive analytics and tailored interventions on the cost of care. - Jana Fehr, Stefan Konigorski, Stephen Olivier, Resign Gunda, Ashmika Surujdeen, Dickman Gareta, Theresa Smit, Kathy Baisley, Sashen Moodley, Yumna Moosa, Willem Hanekom, Olivier Koole, Thumbi Ndung'u, Deenan Pillay, Alison D. Grant, Mark J. Siedner, Christoph Lippert, Emily B. Wong, Anand Ramnanan, Anele Mkhwanazi, Antony Rapulana, Anupa Singh, Ashentha Govender, Ayanda Zungu, Boitsholo Mfolo, Bongani Magwaza, Bongumenzi Ndlovu, Clive Mavimbela, Costa Criticos, Day Munatsi, Dilip Kalyan, Doctar Mlambo, Fezeka Mfeka, Freddy Mabetlela, Gregory Ording-Jespersen, Hannah Keal, Hlengiwe Dlamini, Hlengiwe Khathi, Hlobisile Chonco, Hlobisile Gumede, Hlolisile Khumalo, Hloniphile Ngubane, Hollis Shen, Hosea Kambonde, Innocentia Mpofana, Jabu Kwinda, Jaco Dreyer, Jade Cousins, Jaikrishna Kalideen, Janet Seeley, Kandaseelan Chetty, Kayleen Brien, Kennedy Nyamande, Kgaugelo Moropane, Khabonina Malomane, Khadija Khan, Khanyisani Buthelezi, Kimeshree Perumal, Kobus Herbst, Lindani Mthembu, Logan Pillay, Mandisi Dlamini, Mandlakayise Zikhali, Mbali Mbuyisa, Mbuti Mofokeng, Melusi Sibiya, Mlungisi Dube, Mosa Suleman, Mpumelelo Steto, Mzamo Buthelezi, Nagavelli Padayachi, Nceba Gqaleni, Ngcebo Mhlongo, Nokukhanya Ntshakala, Nomathamsanqa Majozi, Nombuyiselo Zondi, Nomfundo Luthuli, Nomfundo Ngema, Nompilo Buthelezi, Nonceba Mfeka, Nondumiso Khuluse, Nondumiso Mabaso, Nondumiso Zitha, Nonhlanhla Mfekayi, Nonhlanhla Mzimela, Nozipho Mbonambi, Ntombiyenhlanhla Mkhwanazi, Ntombiyenkosi Ntombela, Pamela Ramkalawon, Pfarelo Tshivase, Phakamani Mkhwanazi, Philippa Mathews, Phumelele Mthethwa, Phumla Ngcobo, Ramesh Jackpersad, Raynold Zondo, Rochelle Singh, Rose Myeni, Sanah Bucibo, Sandile Mthembu, Sashin Harilall, Senamile Makhari, Seneme Mchunu, Senzeni Mkhwanazi, Sibahle Gumbi, Siboniso Nene, Sibusiso Mhlongo, Sibusiso Mkhwanazi, Sibusiso Nsibande, Simphiwe Ntshangase, Siphephelo Dlamini, Sithembile Ngcobo, Siyabonga Nsibande, Siyabonga Nxumalo, Sizwe Ndlela, Skhumbuzo Mthombeni, Smangaliso Zulu, Sphiwe Clement Mthembu, Sphiwe Ntuli, Talente Ntimbane, Thabile Zondi, Thandeka Khoza, Thengokwakhe Nkosi, Thokozani Bhengu, Thokozani Simelane, Tshwaraganang Modise, Tumi Madolo, Velile Vellem, Welcome Petros Mthembu, Xolani Mkhize, Zamashandu Mbatha, Zinhle Buthelezi, Zinhle Mthembu, Zizile Sikhosana:
Publisher Correction: Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa. - David M. Levine, Pragya Kakani, Ateev Mehrotra:
Randomized controlled study using text messages to help connect new medicaid beneficiaries to primary care. - Po-Chih Kuo, Cheng Che Tsai, Diego M. López, Alexandros Karargyris, Tom J. Pollard, Alistair E. W. Johnson, Leo Anthony Celi:
Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph. - Arne Peine, Ahmed Hallawa, Johannes Bickenbach, Guido Dartmann, Lejla Begic Fazlic, Anke Schmeink, Gerd Ascheid, Christoph Thiemermann, Andreas Schuppert, Ryan Kindle, Leo A. Celi, Gernot Marx, Lukas Martin:
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care. - Scott H. Kollins, Ann Childress, Andrew C. Heusser, Jacqueline Lutz:
Effectiveness of a digital therapeutic as adjunct to treatment with medication in pediatric ADHD. - Robert Amelard, Eric T. Hedge, Richard Lee Hughson:
Temporal convolutional networks predict dynamic oxygen uptake response from wearable sensors across exercise intensities. - Khalil B. Ramadi, Freddy T. Nguyen:
Rapid crowdsourced innovation for COVID-19 response and economic growth. - Seth Carmody, Andrea R. Coravos, Ginny Fahs, Audra Hatch, Janine Medina, Beau Woods, Joshua Corman:
Building resilient medical technology supply chains with a software bill of materials. - Payal Agarwal, Dara Gordon, Janessa Griffith, Natasha Kithulegoda, Holly O. Witteman, R. Sacha Bhatia, Andre W. Kushniruk, Elizabeth M. Borycki, Lise Lamothe, Elena Springall, James A. Shaw:
Assessing the quality of mobile applications in chronic disease management: a scoping review. - Mathieu Ravaut, Hamed Sadeghi, Kin Kwan Leung, Maksims Volkovs, Kathy Kornas, Vinyas Harish, Tristan Watson, Gary F. Lewis, Alanna Weisman, Tomi Poutanen, Laura C. Rosella:
Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data. - Yi Sun, Jianfeng Wang, Jindou Shi, Stephen A. Boppart:
Synthetic polarization-sensitive optical coherence tomography by deep learning. - Sercan Ö. Arik, Joel Shor, Rajarishi Sinha, Jinsung Yoon, Joseph R. Ledsam, Long T. Le, Michael W. Dusenberry, Nathanael C. Yoder, Kris Popendorf, Arkady Epshteyn, Johan Euphrosine, Elli Kanal, Isaac Jones, Chun-Liang Li, Beth Luan, Joe Mckenna, Vikas Menon, Shashank Singh, Mimi Sun, Ashwin Sura Ravi, Leyou Zhang, Dario Sava, Kane Cunningham, Hiroki Kayama, Thomas C. Tsai, Daisuke Yoneoka, Shuhei Nomura, Hiroaki Miyata, Tomas Pfister:
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan. - Yixiang Deng, Lu Lu, Laura Aponte, Angeliki M. Angelidi, Vera Novak, George Em Karniadakis, Christos S. Mantzoros:
Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients. - Si-Hyuck Kang, Hyunyoung Baek, Jihoon Cho, Seok Kim, Hee Hwang, Wonjae Lee, Jin Joo Park, Yeonyee E. Yoon, Chang-Hwan Yoon, Young-Seok Cho, Tae-Jin Youn, Goo-Yeong Cho, In-Ho Chae, Dong-Ju Choi, Sooyoung Yoo, Jung-Won Suh:
Management of cardiovascular disease using an mHealth tool: a randomized clinical trial. - Emma H. Schwager, Katharina Jansson, Asif Rahman, S. Schiffer, Yale Chang, Gregory Boverman, Brian Gross, Minnan Xu-Wilson, P. Boehme, Hubert Truebel, Joseph J. Frassica:
Utilizing machine learning to improve clinical trial design for acute respiratory distress syndrome. - Chao Fang, Dong Xu, Jing Su, Jonathan R. Dry, Bolan Linghu:
DeePaN: deep patient graph convolutional network integrating clinico-genomic evidence to stratify lung cancers for immunotherapy. - Negar Farzaneh, Craig A. Williamson, Jonathan Gryak, Kayvan Najarian:
A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication. - Tsegahun Manyazewal, Yimtubezinash Woldeamanuel, Henry M. Blumberg, Abebaw Fekadu, Vincent C. Marconi:
The potential use of digital health technologies in the African context: a systematic review of evidence from Ethiopia. - Jiandong Zhou, Sharen Lee, Xiansong Wang, Yi Li, William Ka Kei Wu, Tong Liu, Zhidong Cao, Daniel Dajun Zeng, Keith Sai Kit Leung, Abraham Ka Chung Wai, Ian Chi Kei Wong, Bernard Man Yung Cheung, Qingpeng Zhang, Gary Tse:
Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong. - Tina Lu, Ben Y. Reis:
Internet search patterns reveal clinical course of COVID-19 disease progression and pandemic spread across 32 countries. - Kirstin Aschbacher, Christian S. Hendershot, Geoffrey H. Tison, Judith A. Hahn, Robert Avram, Jeffrey E. Olgin, Gregory M. Marcus:
Machine learning prediction of blood alcohol concentration: a digital signature of smart-breathalyzer behavior. - Laura C. Schubel, Deliya B. Wesley, Ethan Booker, John G. Lock, Raj M. Ratwani:
Population subgroup differences in the use of a COVID-19 chatbot. - Robert Jarrin, Meredith A. Barrett, Leanne Kaye, Sibel Sayiner, Amanda von Leer, Jennifer Johns, Larissa D'Andrea, Carlos Núñez, Andrey Ostrovsky:
Need for clarifying remote physiologic monitoring reimbursement during the COVID-19 pandemic: a respiratory disease case study. - Marieke M. van Buchem, Hileen Boosman, Martijn P. Bauer, Ilse M. J. Kant, Simone A. Cammel, Ewout W. Steyerberg:
The digital scribe in clinical practice: a scoping review and research agenda. - Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, Degui Zhi:
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction. - Douwe van der Wal, Iny Jhun, Israa Laklouk, Jeffrey J. Nirschl, Lara Richer, Rebecca Rojansky, Talent Theparee, Joshua Wheeler, Jörg Sander, Felix Y. Feng, Osama Mohamad, Silvio Savarese, Richard Socher, Andre Esteva:
Biological data annotation via a human-augmenting AI-based labeling system. - Amara Tariq, Leo Anthony Celi, Janice M. Newsome, Saptarshi Purkayastha, Neal Kumar Bhatia, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee:
Patient-specific COVID-19 resource utilization prediction using fusion AI model. - Dorothée Bentz, Nan Wang, Merle K. Ibach, Nathalie S. Schicktanz, Anja Zimmer, Andreas Papassotiropoulos, Dominique J.-F. de Quervain:
Effectiveness of a stand-alone, smartphone-based virtual reality exposure app to reduce fear of heights in real-life: a randomized trial. - Albert T. Young, Kristen Fernandez, Jacob Pfau, Rasika Reddy, Nhat Anh Cao, Max Y. von Franque, Arjun Johal, Benjamin V. Wu, Rachel R. Wu, Jennifer Y. Chen, Raj P. Fadadu, Juan A. Vasquez, Andrew Tam, Michael J. Keiser, Maria L. Wei:
Stress testing reveals gaps in clinic readiness of image-based diagnostic artificial intelligence models. - Elisa Mejía-Mejía, James M. May, Mohamed Elgendi, Panayiotis A. Kyriacou:
Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients. - Dylan Powell, Samuel Stuart, Alan Godfrey:
Sports related concussion: an emerging era in digital sports technology. - Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng:
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. - Alberto Ferrari, Enrico Santus, Davide Cirillo, Miguel Ponce de Leon, Nicola Marino, Maria Teresa Ferretti, Antonella Santuccione Chadha, Nikolaos Mavridis, Alfonso Valencia:
Simulating SARS-CoV-2 epidemics by region-specific variables and modeling contact tracing app containment. - Earl Ray Dorsey:
The new platforms of health care. - Sean Jewell, Joseph Futoma, Lauren Hannah, Andrew C. Miller, Nicholas J. Foti, Emily B. Fox:
It's complicated: characterizing the time-varying relationship between cell phone mobility and COVID-19 spread in the US. - Sara Bersche Golas, Mariana Nikolova-Simons, Ramya Palacholla, Jorn op den Buijs, Gary Garberg, Allison Orenstein, Joseph C. Kvedar:
Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial. - Dae Y. Kang, Pamela N. DeYoung, Justin Tantiongloc, Todd P. Coleman, Robert L. Owens:
Statistical uncertainty quantification to augment clinical decision support: a first implementation in sleep medicine. - Ravi B. Parikh, Manqing Liu, Eric Li, Runze Li, Jinbo Chen:
Trajectories of mortality risk among patients with cancer and associated end-of-life utilization. - Jayson S. Marwaha, Joseph C. Kvedar:
Cultural adaptation: a framework for addressing an often-overlooked dimension of digital health accessibility. - Corey A. Lester, Jiazhao Li, Yuting Ding, Brigid Rowell, Xi Jessie Yang, Raed Al Kontar:
Performance evaluation of a prescription medication image classification model: an observational cohort. - David Drummond:
Between competence and warmth: the remaining place of the physician in the era of artificial intelligence. - Kerstin Spanhel, Sumeyye Balci, Felicitas Feldhahn, Juergen Bengel, Harald Baumeister, Lasse Bosse Sander:
Cultural adaptation of internet- and mobile-based interventions for mental disorders: a systematic review. - Kenneth A. McLean, Katie E. Mountain, Catherine A. Shaw, Thomas M. Drake, Riinu Pius, Stephen R. Knight, Cameron J. Fairfield, Alessandro Sgrò, Matt-Mouley Bouamrane, William A. Cambridge, Mathew Lyons, Aya Riad, Richard J. E. Skipworth, Stephen J. Wigmore, Mark A. Potter, Ewen M. Harrison, K. Baweja, W. A. Cambridge, V. Chauhan, K. Czyzykowska, M. Edirisooriya, A. Forsyth, B. Fox, J. Fretwell, C. Gent, A. Gherman, L. Green, J. Grewar, S. Heelan, D. Henshall, C. Iiuoma, S. Jayasangaran, C. Johnston, E. Kennedy, D. Kremel, J. Kung, J. Kwong, C. Leavy, J. Liu, S. Mackay, A. Macnamara, S. Mowitt, E. Musenga, N. Ng, Z. H. Ng, S. O'neill, M. Ramage, J. Reed, A. Riad, C. Scott, V. Sehgal, A. Sgrò, L. Steven, B. Stutchfield, S. Tominey, W. Wilson, M. Wojtowicz, J. Yang:
Remote diagnosis of surgical-site infection using a mobile digital intervention: a randomised controlled trial in emergency surgery patients. - Danqing Xu, Chen Wang, Atlas Khan, Ning Shang, Zihuai He, Adam S. Gordon, Iftikhar J. Kullo, Shawn N. Murphy, Yizhao Ni, Wei-Qi Wei, Ali Gharavi, Krzysztof Kiryluk, Chunhua Weng, Iuliana Ionita-Laza:
Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies. - Stephen M. Mattingly, Ted Grover, Gonzalo J. Martínez, Talayeh Aledavood, Pablo Robles-Granda, Kari Nies, Aaron Striegel, Gloria Mark:
The effects of seasons and weather on sleep patterns measured through longitudinal multimodal sensing. - Endre Grøvik, Darvin Yi, Michael Iv, Elizabeth Tong, Line Brennhaug Nilsen, Anna Latysheva, Cathrine Saxhaug, Kari Dolven Jacobsen, Åslaug Helland, Kyrre Eeg Emblem, Daniel L. Rubin, Greg Zaharchuk:
Handling missing MRI sequences in deep learning segmentation of brain metastases: a multicenter study. - Matthew Abueg, Robert Hinch, Neo Wu, Luyang Liu, William J. M. Probert, Austin Wu, Paul Eastham, Yusef Shafi, Matt Rosencrantz, Michael Dikovsky, Zhao Cheng, Anel Nurtay, Lucie Abeler-Dörner, David G. Bonsall, Michael V. McConnell, Shawn O'Banion, Christophe Fraser:
Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state. - David Eng, Christopher Chute, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Sam Shleifer, Mohamed H. Khalaf, Alexander T. Sandhu, Fátima Rodriguez, David J. Maron, Saeed Seyyedi, Daniele Marin, Ilana Golub, Matthew J. Budoff, Felipe Kitamura, Marcelo Straus Takahashi, Ross W. Filice, Rajesh Shah, John Mongan, Kimberly Kallianos, Curtis P. Langlotz, Matthew P. Lungren, Andrew Y. Ng, Bhavik N. Patel:
Automated coronary calcium scoring using deep learning with multicenter external validation. - Hossein Estiri, Zachary H. Strasser, Jeffrey G. Klann, Pourandokht Naseri, Kavishwar B. Wagholikar, Shawn N. Murphy:
Predicting COVID-19 mortality with electronic medical records. - Diane M. Korngiebel, Sean D. Mooney:
Considering the possibilities and pitfalls of Generative Pre-trained Transformer 3 (GPT-3) in healthcare delivery. - Tyla Thomas-Jacques, Trevor Jamieson, James A. Shaw:
Telephone, video, equity and access in virtual care. - (Withdrawn) Facial expressions can detect Parkinson's disease: preliminary evidence from videos collected online.
- Vasileios Lampos, Maimuna S. Majumder, Elad Yom-Tov, Michael Edelstein, Simon Moura, Yohhei Hamada, Molebogeng X. Rangaka, Rachel A. McKendry, Ingemar J. Cox:
Tracking COVID-19 using online search. - James A. Diao, Leia Wedlund, Joseph C. Kvedar:
Beyond performance metrics: modeling outcomes and cost for clinical machine learning. - Christine K. Lee, Muntaha Samad, Ira Hofer, Maxime Cannesson, Pierre Baldi:
Development and validation of an interpretable neural network for prediction of postoperative in-hospital mortality. - Stijn A. A. Massar, Xin Yu Chua, Chun Siong Soon, Alyssa S. C. Ng, Ju Lynn Ong, Nicholas I. Y. N. Chee, Tih Shih Lee, Arko Ghosh, Michael W. L. Chee:
Trait-like nocturnal sleep behavior identified by combining wearable, phone-use, and self-report data. - Cynthia J. Sieck, Amy Sheon, Jessica S. Ancker, Jill Castek, Bill Callahan, Angela Siefer:
Digital inclusion as a social determinant of health. - Mustafa Radha, Pedro Fonseca, Arnaud Moreau, Marco Ross, Andreas Cerny, Peter Anderer, Xi Long, Ronald M. Aarts:
A deep transfer learning approach for wearable sleep stage classification with photoplethysmography. - Spencer D. Dorn:
Backslide or forward progress? Virtual care at U.S. healthcare systems beyond the COVID-19 pandemic. - Kartik S. Telukuntla, Chetan P. Huded, Mingyuan Shao, Tim Sobol, Mouin Abdallah, Kathleen Kravitz, Michael Hulseman, Benico Barzilai, Randall C. Starling, Lars G. Svensson, Steven E. Nissen, Umesh N. Khot:
Impact of an electronic medical record-based appointment order on outpatient cardiology follow-up after hospital discharge. - James T. Teo, Vlad Dinu, William Bernal, Phil Davidson, Vitaliy Oliynyk, Cormac Breen, Richard D. Barker, Richard J. B. Dobson:
Real-time clinician text feeds from electronic health records. - Ashley O'Donoghue, Tenzin Dechen, Whitney Pavlova, Michael Boals, Garba Moussa, Manvi Madan, Aalok Thakkar, Frank J. DeFalco, Jennifer P. Stevens:
Reopening businesses and risk of COVID-19 transmission. - Jordan P. Richardson, Cambray Smith, Susan Curtis, Sara Watson, Xuan Zhu, Barbara Barry, Richard R. Sharp:
Patient apprehensions about the use of artificial intelligence in healthcare. - Sean D. Young, Qingpeng Zhang, Jiandong Zhou, Rosalie Liccardo Pacula:
Internet search and medicaid prescription drug data as predictors of opioid emergency department visits. - Eunhee Kim, Andrius Baskys, Anandi V. Law, Moom R. Roosan, Yan Li, Don Roosan:
Scoping review: the empowerment of Alzheimer's Disease caregivers with mHealth applications. - Scott Claxton, Paul Porter, Joanna Brisbane, Natasha Bear, Javan Wood, Vesa T. Peltonen, Phillip Della, Claire Smith, Udantha R. Abeyratne:
Identifying acute exacerbations of chronic obstructive pulmonary disease using patient-reported symptoms and cough feature analysis. - Velibor V. Misic, Kumar Rajaram, Eilon Gabel:
A simulation-based evaluation of machine learning models for clinical decision support: application and analysis using hospital readmission. - Andre Esteva, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin, Dragomir Radev, Richard Socher:
COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization. - Hugh Chen, Scott M. Lundberg, Gabriel G. Erion, Jerry H. Kim, Su-In Lee:
Forecasting adverse surgical events using self-supervised transfer learning for physiological signals. - Ramy Sedhom, Michael J. McShea, Adam B. Cohen, Jonathan A. Webster, Simon C. Mathews:
Mobile app validation: a digital health scorecard approach. - Ram Bala, Charlotte Lee, Benjamin Pallant, Maahika Srinivasan, Daniel Lurie, Rohit Jacob, Neeraj Bhagchandani, Megan Ranney, Shuhan He:
Algorithmic matching of personal protective equipment donations with healthcare facilities during the COVID-19 pandemic. - Naveena Yanamala, Nanda H. Krishna, Quincy A. Hathaway, Aditya Radhakrishnan, Srinidhi Sunkara, Heenaben Patel, Peter Farjo, Brijesh Patel, Partho P. Sengupta:
A vital sign-based prediction algorithm for differentiating COVID-19 versus seasonal influenza in hospitalized patients. - Edward H. Lee, Jimmy Zheng, Errol Colak, Maryam Mohammadzadeh, Golnaz Houshmand, Nicholas Bevins, Felipe Kitamura, Emre Altinmakas, Eduardo Pontes Reis, Jae-Kwang Kim, Chad Klochko, Michelle Han, Sadegh Moradian, Ali Mohammadzadeh, Hashem Sharifian, Hassan Hashemi, Kavous Firouznia, Hossein Ghanaati, Masoumeh Gity, Hakan Dogan, Hojjat Salehinejad, Henrique Alves, Jayne Seekins, Nitamar Abdala, Çetin Atasoy, Hamidreza Pouraliakbar, Majid Maleki, S. Simon Wong, Kristen W. Yeom:
Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT. - Chang Su, Yongkang Zhang, James H. Flory, Mark G. Weiner, Rainu Kaushal, Edward J. Schenck, Fei Wang:
Clinical subphenotypes in COVID-19: derivation, validation, prediction, temporal patterns, and interaction with social determinants of health. - Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Á Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg:
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. - Stephen R. Knight, Nathan Ng, Athanasios Tsanas, Kenneth A. McLean, Claudia Pagliari, Ewen M. Harrison:
Mobile devices and wearable technology for measuring patient outcomes after surgery: a systematic review. - Roman Zeleznik, Jakob Weiss, Jana Taron, Christian V. Guthier, Danielle S. Bitterman, Cindy Hancox, Benjamin H. Kann, Daniel W. Kim, Rinaa S. Punglia, Jeremy Bredfeldt, Borek Foldyna, Parastou Eslami, Michael T. Lu, Udo Hoffmann, Raymond H. Mak, Hugo J. W. L. Aerts:
Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer. - David W. Bates, David M. Levine, Ania Syrowatka, Masha Kuznetsova, Kelly J. Thomas Craig, Angela Rui, Gretchen Purcell Jackson, Kyu Rhee:
The potential of artificial intelligence to improve patient safety: a scoping review. - August DuMont Schütte, Jürgen Hetzel, Sergios Gatidis, Tobias Hepp, Benedikt Dietz, Stefan Bauer, Patrick Schwab:
Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation. - Brinnae Bent, Peter J. Cho, Maria Henriquez, April Wittmann, Connie Thacker, Mark Feinglos, Matthew J. Crowley, Jessilyn Dunn:
Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches. - Jun Wang, Chen Liu, Jingwen Li, Cheng Yuan, Lichi Zhang, Cheng Jin, Jianwei Xu, Yaqi Wang, Yaofeng Wen, Hongbing Lu, Biao Li, Chang Chen, Xiangdong Li, Dinggang Shen, Dahong Qian, Jian Wang:
iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients. - Jordan D. Coffey, Laura A. Christopherson, Amy E. Glasgow, Kristina K. Pearson, Julie K. Brown, Shelby R. Gathje, Lindsey R. Sangaralingham, Eva M. Carmona Porquera, Abinash Virk, Robert Orenstein, Leigh L. Speicher, Dennis M. Bierle, Ravindra Ganesh, Debra L. Cox, R. Nicole Blegen, Tufia C. Haddad:
Implementation of a multisite, interdisciplinary remote patient monitoring program for ambulatory management of patients with COVID-19. - Isabella Friis Jørgensen, Søren Brunak:
Time-ordered comorbidity correlations identify patients at risk of mis- and overdiagnosis. - Alejandro Aguayo-Orozco, Amalie Dahl Haue, Isabella Friis Jørgensen, David Westergaard, Pope L. Moseley, Laust Hvas Mortensen, Søren Brunak:
Optimizing drug selection from a prescription trajectory of one patient. - Matteo Gadaleta, Jennifer M. Radin, Katie Baca-Motes, Edward Ramos, Vik Kheterpal, Eric J. Topol, Steven R. Steinhubl, Giorgio Quer:
Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms. - Jinghui Liu, Daniel Capurro, Anthony N. Nguyen, Karin Verspoor:
Early prediction of diagnostic-related groups and estimation of hospital cost by processing clinical notes. - James A. Diao, Joseph C. Kvedar:
Mobile health technology for diverse populations: challenges and opportunities. - Mitesh S. Patel, Daniel E. Polsky, Dylan S. Small, Sae-Hwan Park, Chalanda N. Evans, Tory Harrington, Rachel Djaraher, Sujatha Changolkar, Christopher K. Snider, Kevin G. Volpp:
Predicting changes in glycemic control among adults with prediabetes from activity patterns collected by wearable devices. - Jiang Li, Xiaowei S. Yan, Durgesh Chaudhary, Venkatesh Avula, Satish Mudiganti, Hannah Husby, Shima Shahjouei, Ardavan Afshar, Walter F. Stewart, Mohammed Yeasin, Ramin Zand, Vida Abedi:
Imputation of missing values for electronic health record laboratory data. - Arjan Sammani, Ayoub Bagheri, Peter G. M. van der Heijden, Anneline S. J. M. te Riele, Annette F. Baas, C. A. J. Oosters, Daniel L. Oberski, Folkert W. Asselbergs:
Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks. - Takenori Inomata, Masahiro Nakamura, Jaemyoung Sung, Akie Midorikawa-Inomata, Masao Iwagami, Kenta Fujio, Yasutsugu Akasaki, Yuichi Okumura, Keiichi Fujimoto, Atsuko Eguchi, Maria Miura, Ken Nagino, Hurramhon Shokirova, Jun Zhu, Mizu Kuwahara, Kunihiko Hirosawa, Reza Dana, Akira Murakami:
Smartphone-based digital phenotyping for dry eye toward P4 medicine: a crowdsourced cross-sectional study. - Ahmed Hassoon, Yasmin Baig, Daniel Q. Naiman, David D. Celentano, Dina Lansey, Vered Stearns, Josef Coresh, Jennifer A. Schrack, Seth S. Martin, Hsin-Chieh Yeh, Hadas Zeilberger, Lawrence J. Appel:
Randomized trial of two artificial intelligence coaching interventions to increase physical activity in cancer survivors. - Fahad Mujtaba Iqbal, Kyle Lam, Meera Joshi, Sadia Khan, Hutan Ashrafian, Ara Darzi:
Clinical outcomes of digital sensor alerting systems in remote monitoring: a systematic review and meta-analysis. - Simon Meyer Lauritsen, Bo Thiesson, Marianne Johansson Jørgensen, Anders Hammerich Riis, Ulrick Skipper Espelund, Jesper Bo Weile, Jeppe Lange:
The Framing of machine learning risk prediction models illustrated by evaluation of sepsis in general wards. - Yu Fang, Daniel B. Forger, Elena Frank, Srijan Sen, Cathy Goldstein:
Day-to-day variability in sleep parameters and depression risk: a prospective cohort study of training physicians. - Mary Regina Boland, Lena M. Davidson, Silvia P. Canelón, Jessica R. Meeker, Trevor M. Penning, John H. Holmes, Jason H. Moore:
Harnessing electronic health records to study emerging environmental disasters: a proof of concept with perfluoroalkyl substances (PFAS). - Zhaoyi Chen, Hansi Zhang, Yi Guo, Thomas J. George, Mattia Prosperi, William R. Hogan, Zhe He, Elizabeth A. Shenkman, Fei Wang, Jiang Bian:
Exploring the feasibility of using real-world data from a large clinical data research network to simulate clinical trials of Alzheimer's disease. - Ravi Aggarwal, Viknesh Sounderajah, Guy Martin, Daniel S. W. Ting, Alan Karthikesalingam, Dominic King, Hutan Ashrafian, Ara Darzi:
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis. - Sonu Subudhi, Ashish Verma, Ankit B. Patel, C. Corey Hardin, Melin J. Khandekar, Hang Lee, Dustin McEvoy, Triantafyllos Stylianopoulos, Lance L. Munn, Sayon Dutta, Rakesh K. Jain:
Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19. - Dinesh Visva Gunasekeran, Rachel Marjorie Wei Wen Tseng, Yih Chung Tham, Tien Yin Wong:
Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies. - Marcin Straczkiewicz, Peter James, Jukka-Pekka Onnela:
A systematic review of smartphone-based human activity recognition methods for health research. - Andre Esteva, Katherine Chou, Serena Yeung, Nikhil Naik, Ali Madani, Ali Mottaghi, Yun Liu, Eric J. Topol, Jeff Dean, Richard Socher:
Deep learning-enabled medical computer vision.
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