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Journal Articles
- 2024
[j4]Benjamin S. Glicksberg
, Prem Timsina, Dhaval Patel, Ashwin Sawant, Akhil Vaid, Ganesh Raut, Alexander W. Charney, Donald Apakama, Brendan G. Carr, Robert Freeman, Girish N. Nadkarni, Eyal Klang:
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. J. Am. Medical Informatics Assoc. 31(9): 1921-1928 (2024)- [j3]Faris F. Gulamali, Pushkala Jayaraman, Ashwin S. Sawant, Jacob Desman, Benjamin Fox, Annette Chang, Brian Y. Soong, Naveen Arivazagan, Alexandra S. Reynolds, Son Q. Duong, Akhil Vaid, Patricia H. Kovatch, Robert Freeman, Ira Hofer, Ankit Sakhuja, Neha S. Dangayach, David S. Reich, Alexander W. Charney, Girish N. Nadkarni:
Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension. npj Digit. Medicine 7(1) (2024) - 2023
- [j2]Akhil Vaid, Joy Jiang, Ashwin Sawant, Stamatios Lerakis, Edgar Argulian, Yuri Ahuja, Joshua Lampert, Alexander Charney, Hayit Greenspan, Jagat Narula, Benjamin S. Glicksberg, Girish N. Nadkarni:
A foundational vision transformer improves diagnostic performance for electrocardiograms. npj Digit. Medicine 6 (2023) - 2022
- [j1]Faris F. Gulamali, Ashwin Sawant, Patricia H. Kovatch, Benjamin S. Glicksberg, Alexander Charney, Girish N. Nadkarni, Eric K. Oermann:
Autoencoders for sample size estimation for fully connected neural network classifiers. npj Digit. Medicine 5 (2022)
Conference and Workshop Papers
- 2023
- [c1]Faris F. Gulamali, Ashwin Sawant, Ira Hofer, Matthew A. Levin, Alexander Charney, Karandeep Singh, Benjamin S. Glicksberg, Girish N. Nadkarni:
Online Unsupervised Representation Learning of Waveforms in the Intensive Care Unit via a novel cooperative framework: Spatially Resolved Temporal Networks (SpaRTEn). MLHC 2023: 230-247
Informal and Other Publications
- 2024
- [i3]Akhil Vaid, Joshua Lampert, Juhee Lee, Ashwin Sawant, Donald Apakama, Ankit Sakhuja, Ali Soroush, Denise Lee, Isotta Landi, Nicole Bussola, Ismail Nabeel, Robbie Freeman, Patricia H. Kovatch, Brendan G. Carr, Benjamin S. Glicksberg, Edgar Argulian, Stamatios Lerakis, Monica Kraft, Alexander Charney, Girish N. Nadkarni:
Generative Large Language Models are autonomous practitioners of evidence-based medicine. CoRR abs/2401.02851 (2024) - 2023
- [i2]Faris F. Gulamali, Ashwin S. Sawant, Lora Liharska, Carol R. Horowitz, Lili Chan, Patricia H. Kovatch, Ira Hofer, Karandeep Singh, Lynne D. Richardson, Emmanuel Mensah, Alexander W. Charney, David L. Reich, Jianying Hu, Girish N. Nadkarni:
An AI-Guided Data Centric Strategy to Detect and Mitigate Biases in Healthcare Datasets. CoRR abs/2311.03425 (2023) - 2022
- [i1]Akhil Vaid, Joy Jiang, Ashwin Sawant, Stamatios Lerakis, Edgar Argulian, Yuri Ahuja, Joshua Lampert, Alexander Charney, Hayit Greenspan, Benjamin S. Glicksberg, Jagat Narula, Girish N. Nadkarni:
HeartBEiT: Vision Transformer for Electrocardiogram Data Improves Diagnostic Performance at Low Sample Sizes. CoRR abs/2212.14040 (2022)
Coauthor Index
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