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

Research Letter (38) Artificial Intelligence (1421) Perinatal Depression; Postpartum Depression; PPD (96) Chatbots and Conversational Agents (543) Generative Language Models Including ChatGPT (325) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1565)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49240, first published .
Clinical Accuracy of Large Language Models and Google Search Responses to Postpartum Depression Questions: Cross-Sectional Study

Clinical Accuracy of Large Language Models and Google Search Responses to Postpartum Depression Questions: Cross-Sectional Study

Clinical Accuracy of Large Language Models and Google Search Responses to Postpartum Depression Questions: Cross-Sectional Study

Authors of this article:

Emre Sezgin1, 2 Author Orcid Image ;   Faraaz Chekeni1, 2 Author Orcid Image ;   Jennifer Lee1, 2 Author Orcid Image ;   Sarah Keim1, 2, 3 Author Orcid Image
Article Authors Cited by (15) Tweetations (13) Metrics

Emre Sezgin   1, 2 , PhD ;   Faraaz Chekeni   1, 2 , MD, PhD ;   Jennifer Lee   1, 2 , MD ;   Sarah Keim   1, 2, 3 , PhD

1 Nationwide Children's Hospital, Columbus, OH, United States

2 College of Medicine, The Ohio State University, Columbus, OH, United States

3 College of Public Health, The Ohio State University, Columbus, OH, United States

Corresponding Author: