Performance of Three Large Language Models on Dermatology Board Examinations-Reference-Cited by-同舟云学术

Performance of Three Large Language Models on Dermatology Board Examinations

Published:2024-02 Issue:2 Volume:144 Page:398-400
ISSN:0022-202X
Container-title:Journal of Investigative Dermatology
language:en
Short-container-title:Journal of Investigative Dermatology

Author:

Mirza Fatima N.^ORCID,Lim Rachel K.^ORCID,Yumeen Sara^ORCID,Wahood Samer^ORCID,Zaidat Bashar^ORCID,Shah Asghar^ORCID,Tang Oliver Y.^ORCID,Kawaoka John^ORCID,Seo Su-Jean^ORCID,DiMarco Christopher^ORCID,Muglia Jennie^ORCID,Goldbach Hayley S.^ORCID,Wisco Oliver^ORCID,Qureshi Abrar A.^ORCID,Libby Tiffany J.^ORCID

Publisher

Elsevier BV

Subject

Cell Biology,Dermatology,Molecular Biology,Biochemistry

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4. A deep learning system for differential diagnosis of skin diseases;Liu;Nat Med,2020

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assessment of Correctness, Content Omission, and Risk of Harm in Large Language Model Responses to Dermatology Continuing Medical Education Questions;Journal of Investigative Dermatology;2024-08

2. Usefulness of the large language model ChatGPT (GPT‐4) as a diagnostic tool and information source in dermatology;JEADV Clinical Practice;2024-06-03

3. Dermatologists’ Perspectives and Usage of Large Language Models in Practice: An Exploratory Survey;Journal of Investigative Dermatology;2024-04

4. How Foundation Models Are Shaking the Foundation of Medical Knowledge;Journal of Investigative Dermatology;2024-02

5. Using ChatGPT to Facilitate Truly Informed Medical Consent;NEJM AI;2024-01-25