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This Issue
Medical News & Perspectives
AI in Medicine
August 7, 2023
EmilyHarris
Article Information
JAMA. 2023;330(9):792-794. doi:10.1001/jama.2023.14311
JAMA Medical News
- Viewpoint The Challenges for Regulating Medical Use of Large Language Models
TimoMinssen,LLD; EffyVayena,PhD; I. GlennCohen,JD
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- Medical News in Brief National Health Care Leaders Will Develop AI Code of Conduct
EmilyHarris
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- Medical News in Brief Study Tests Large Language Models’ Ability to Answer Clinical Questions
EmilyHarris
JAMA
- Special Communication Creation and Adoption of Large Language Models in Medicine
Nigam H.Shah,MBBS, PhD; DavidEntwistle,BS, MHSA; Michael A.Pfeffer,MD
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RebeccaVoelker,MSJ
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YulinHswen,ScD, MPH; JenniferAbbasi
JAMA
- Medical News in Brief AI-Drafted Responses to Patients Reduced Clinician Burnout
EmilyHarris
JAMA
- Original Investigation Comparing Physician and Chatbot Responses to Patient Questions
John W.Ayers,PhD, MA; AdamPoliak,PhD; MarkDredze,PhD; Eric C.Leas,PhD, MPH; ZechariahZhu,BS; Jessica B.Kelley,MSN; Dennis J.Faix,MD; Aaron M.Goodman,MD; Christopher A.Longhurst,MD, MS; MichaelHogarth,MD; Davey M.Smith,MD, MAS
JAMA Internal Medicine
- Research Letter Chatbot vs Medical Student Performance on Free-Response Clinical Reasoning Examinations
EricStrong,MD; AliciaDiGiammarino,MS; YingjieWeng,MHS; AndreKumar,MD, MEd; PoonamHosamani,MD; JasonHom,MD; Jonathan H.Chen,MD, PhD
JAMA Internal Medicine
Full Text
When Google completes the sentence, “Coronary artery disease is caused by,” the search engine offers several possibilities: atherosclerosis, smoking, and inflammation, to name a few.
This type of word completion—the province of large language models (LLMs) such as OpenAI’s ChatGPT or Google’s Pathways Language Model, known as PaLM—uses billions of pieces of information the models have trained on to predict what’s most likely to come next. In short, the models are “autocomplete on steroids,” bioinformatics expert Jonathan Chen, MD, PhD, an assistant professor of medicine at Stanford Medicine, said in an interview.
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August 8, 2023
Artificial Intelligence or Human Deficiency?
Alessandro Capone, Medical Doctor | Statistics for Health Economic Evaluation Group (external member), Department of Statistical Science, University College London
The author highlights the potential of large language models (LLMs), their limitations, and the relative lack of appropriate guidelines for implementing such powerful tools. Unfortunately, the history of scientific research is paved with horrifying mistakes (whether accidental or deliberate), and the use of LLMs could generate errors of judgment and lead to decisions that could undermine individual and public health, and/or the quality of life for many people. The core asset of scientific research - universal reproducibility - must be guaranteed and protected by clear and shared guidelines that strictly regulate use of LLMs. The self-learning procedures and
CONFLICT OF INTEREST: None Reported
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August 23, 2023
The difference between human creativity and AI creativity
Jun Xu | Private
The difference in creativity between human intelligence and AI is that we create something new based primarily on our understanding, whereas AI creates something new based on statistical probability or correlation. Since statistical correlation is not human understanding, AI clinicians should highlight their own creation so that patients are aware of the parts that may contain hallucinations and errors.
CONFLICT OF INTEREST: None Reported
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Artificial Intelligence
Citation
Harris E. Large Language Models Answer Medical Questions Accurately, but Can’t Match Clinicians’ Knowledge. JAMA. 2023;330(9):792–794. doi:10.1001/jama.2023.14311
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