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Journal Articles
- 2024
[j7]Henry J. Paiste, Ryan Godwin, Andrew D. Smith
, Dan E. Berkowitz, Ryan L. Melvin:
Strengths-weaknesses-opportunities-threats analysis of artificial intelligence in anesthesiology and perioperative medicine. Frontiers Digit. Health 6 (2024)- [j6]Andrew B. Barker, Ryan L. Melvin, Ryan Godwin, David Benz, Brant M. Wagener:
Machine Learning Predicts Unplanned Care Escalations for Post-Anesthesia Care Unit Patients during the Perioperative Period: A Single-Center Retrospective Study. J. Medical Syst. 48(1): 69 (2024) - [j5]Ryan Godwin, Ayesha S. Bryant, Brant M. Wagener, Timothy J. Ness, Jennifer J. DeBerry, LaShun L. Horn, Shanna H. Graves, Ashley C. Archer, Ryan L. Melvin:
IRB-draft-generator: A generative AI tool to streamline the creation of institutional review board applications. SoftwareX 25: 101601 (2024) - [j4]Ryan Godwin, Ryan L. Melvin:
Toward efficient data science: A comprehensive MLOps template for collaborative code development and automation. SoftwareX 26: 101723 (2024) - [j3]Ryan Godwin, Jennifer J. DeBerry, Brant M. Wagener, Dan E. Berkowitz, Ryan L. Melvin:
Grant drafting support with guided generative AI software. SoftwareX 27: 101784 (2024) - 2022
- [j2]Ryan L. Melvin, Matthew G. Broyles, Elizabeth W. Duggan, Sonia John, Andrew D. Smith, Dan E. Berkowitz:
Artificial Intelligence in Perioperative Medicine: A Proposed Common Language With Applications to FDA-Approved Devices. Frontiers Digit. Health 4: 872675 (2022) - 2021
- [j1]Tarun Karthik Kumar Mamidi, Thi K. Tran-Nguyen, Ryan L. Melvin, Elizabeth A. Worthey:
Development of An Individualized Risk Prediction Model for COVID-19 Using Electronic Health Record Data. Frontiers Big Data 4: 675882 (2021)
Coauthor Index
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