Large Language Models for Chatbot Health Advice Studies

2025106 citationsReviewgold Open Access

Authors

Bright Huo · McMaster University

Amy Boyle · McMaster University

Nana Marfo · California Miramar University

Wimonchat Tangamornsuksan · Impact

Jeremy Steen · University of Toronto

Tyler McKechnie · McMaster University

Yung Lee · McMaster University

Abstract

In this systematic review of 137 chatbot health advice studies, the reporting quality was heterogeneous and may inform the development of the CHART reporting standards. Ethical, regulatory, and patient safety considerations are crucial as interest grows in the clinical integration of LLMs.

Topics & Keywords

Artificial Intelligence in Healthcare and Education AI in Service Interactions COVID-19 diagnosis using AI

Publication Details

Published in: JAMA Network Open

Volume 8, Issue 2, pp. e2457879-e2457879

DOI: 10.1001/jamanetworkopen.2024.57879

Field-Weighted Citation Impact: 68.62

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Large Language Models for Chatbot Health Advice Studies

Authors

Abstract

Topics & Keywords

Publication Details