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Use of artificial intelligence chatbots in clinical management of immune-related adverse events

Authors :
Jarushka Naidoo
Igor Puzanov
Paolo A Ascierto
Marc S Ernstoff
Douglas B Johnson
Fei Ye
Mitchell S von Itzstein
David E Gerber
Benjamin Switzer
Aliyah Pabani
Hannah Burnette
Run Fan
Source :
Journal for ImmunoTherapy of Cancer, Vol 12, Iss 5 (2024)
Publication Year :
2024
Publisher :
BMJ Publishing Group, 2024.

Abstract

Background Artificial intelligence (AI) chatbots have become a major source of general and medical information, though their accuracy and completeness are still being assessed. Their utility to answer questions surrounding immune-related adverse events (irAEs), common and potentially dangerous toxicities from cancer immunotherapy, are not well defined.Methods We developed 50 distinct questions with answers in available guidelines surrounding 10 irAE categories and queried two AI chatbots (ChatGPT and Bard), along with an additional 20 patient-specific scenarios. Experts in irAE management scored answers for accuracy and completion using a Likert scale ranging from 1 (least accurate/complete) to 4 (most accurate/complete). Answers across categories and across engines were compared.Results Overall, both engines scored highly for accuracy (mean scores for ChatGPT and Bard were 3.87 vs 3.5, p

Details

Language :
English
ISSN :
20511426
Volume :
12
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Journal for ImmunoTherapy of Cancer
Publication Type :
Academic Journal
Accession number :
edsdoj.10149fdee8db4c7899ea1632bcd5d0b9
Document Type :
article
Full Text :
https://doi.org/10.1136/jitc-2023-008599