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Applications of large language models (LLMs) like ChatGPT have potential to enhance clinical decision support through conversational interfaces.
Liii. on lines and planes of closest fit to systems of points in space
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Learning representations by back-propagating errors
David E Rumelhart, Geoffrey E Hinton, and Ronald J Williams · 1986
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Harold Hotelling · 1992
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Robert Tibshirani · 1996
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User acceptance of information technology: Toward a unified view
Viswanath Venkatesh, Michael G Morris, Gordon B Davis, and Fred D Davis · 2003
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The history of medical simulation
Kathleen R Rosen · 2008
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Making sense of cronbach’s alpha
Mohsen Tavakol and Reg Dennick · 2011
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Technology-enhanced simulation in emergency medicine: a systematic review and meta-analysis
Jonathan S Ilgen, Jonathan Sherbino, and David A Cook · 2013
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Xgboost: A scalable tree boosting system
Tianqi Chen and Carlos Guestrin · 2016
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Applied artificial intelligence and trust—the case of autonomous vehicles and medical assistance devices
Monika Hengstler, Ellen Enkel, and Selina Duelli · 2016
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How much information? effects of transparency on trust in an algorithmic interface
Rene F Kizilcec · 2016
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Estimation and inference of heterogeneous treatment effects using random forests
Interpretable machine learning
Christoph Molnar · 2020
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Validation of a machine learning model that outperforms clinical risk scoring systems for upper gastrointestinal bleeding
Dennis L Shung, Benjamin Au, Richard Andrew Taylor, J Kenneth Tay, Stig B Laursen, Adrian J Stanley, Harry R Dalton, Jeffrey Ngu, Michael Schultz, and Loren Laine · 2020
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Acg clinical guideline: upper gastrointestinal and ulcer bleeding
Loren Laine, Alan N Barkun, John R Saltzman, Myriam Martel, and Grigorios I Leontiadis · 2021
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Artificial intelligence in undergraduate medical education: a scoping review
Juehea Lee, Annie Siyu Wu, David Li, and Kulamakan Mahan Kulasegaram · 2021
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Performance of chatgpt on usmle: Potential for ai-assisted medical education using large language models
Tiffany H Kung, Morgan Cheatham, Arielle Medenilla, Czarina Sillos, Lorie De Leon, Camille Elepaño, Maria Madriaga, Rimel Aggabao, Giezel Diaz-Candido, James Maningo, et al · 2023
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Stefan Wager and Susan Athey · 2018
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Human trust in artificial intelligence: Review of empirical research
Ella Glikson and Anita Williams Woolley · 2020
Cited alongside, same era.
Provider trust and perceived usefulness of machine learning risk stratification tool for acute upper gastrointestinal bleeding using the technology acceptance model: a pilot study
Jack Huebner, Shang Chung, Rene Kizilcec, Loren Laine, and Dennis Shung
Cited in the paper.
An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals
Sophie I Lambert, Murielle Madi, Sasa Sopka, Andrea Lenes, Hendrik Stange, Claus-Peter Buszello, and Astrid Stephan
Cited in the paper.
Ethical considerations of using chatgpt in health care
Chengyu Wang, Siru Liu, Hao Yang, Jiulin Guo, Yuxuan Wu, and Jialin Liu
Cited in the paper.
Proof of concept: Using chatgpt to teach emergency physicians how to break bad news
Jeremy J Webb · 2023
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