This paper is in the following e-collection/theme issue:

Digital Health Reviews (1530) Artificial Intelligence (1748) Generative Language Models Including ChatGPT (501) AI Language Models in Health Care (106) Natural Language Processing (803) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (58) Theme Issue: ChatGPT and Generative Language Models in Medical Education (102)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60501, first published .
Prompt Engineering Paradigms for Medical Applications: Scoping Review

Prompt Engineering Paradigms for Medical Applications: Scoping Review

Prompt Engineering Paradigms for Medical Applications: Scoping Review

Authors of this article:

Jamil Zaghir1, 2 Author Orcid Image ;   Marco Naguib3 Author Orcid Image ;   Mina Bjelogrlic1, 2 Author Orcid Image ;   Aurélie Névéol3 Author Orcid Image ;   Xavier Tannier4 Author Orcid Image ;   Christian Lovis1, 2 Author Orcid Image
Article Authors Cited by (15) Tweetations (1) Metrics Author Video
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Ante Leimon Ante Leimon @AnteLeimon

@digitalhealthxx Great paper ! Makes me think of a review on 110+ prompt engineering studies in medical field (https://t.co/nXCvDMF39n). The review shows self-consistency (ensemble + CoT) offers improvements over simple CoT, likely due to the presence of multiple logical pathways in medicine.

10:00 PM · Sep 22, 2024

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