Evaluating Artificial Intelligence Responses to Public Health Questions-Reference-Cited by-同舟云学术

Evaluating Artificial Intelligence Responses to Public Health Questions

Published:2023-06-07 Issue:6 Volume:6 Page:e2317517
ISSN:2574-3805
Container-title:JAMA Network Open
language:en
Short-container-title:JAMA Netw Open

Author:

Ayers John W.¹²,Zhu Zechariah¹,Poliak Adam³,Leas Eric C.¹⁴,Dredze Mark⁵,Hogarth Michael⁶⁷,Smith Davey M.²⁷

Affiliation:

1. Qualcomm Institute, University of California San Diego, La Jolla

2. Division of Infectious Diseases and Global Public Health, Department of Medicine, University of California San Diego, La Jolla

3. Department of Computer Science, Bryn Mawr College, Bryn Mawr, Pennsylvania

4. Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla

5. Department of Computer Science, Johns Hopkins University, Baltimore, Maryland

6. Department of Biomedical Informatics, University of California San Diego, La Jolla

7. Altman Clinical Translational Research Institute, University of California San Diego, La Jolla

Abstract

This cross-sectional study analyzes the quality of ChatGPT responses to public health questions.

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2805756/ayers_2023_ld_230091_1685466899.60716.pdf

Reference6 articles.

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4. Media trends for the Substance Abuse and Mental Health Services Administration 800-662-HELP addiction treatment referral services after a celebrity overdose.;Ayers;JAMA Intern Med,2019

5. Smith? EA, Senter? RJ. Automated readability index. 6570th Aerospace Medical Research Laboratory; 1967 AMRL technical report 66-220. Accessed April 28, 2023. https://apps.dtic.mil/sti/pdfs/AD0667273.pdf?

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