Generative AI’s healthcare professional role creep: a cross-sectional evaluation of publicly accessible, customised health-related GPTs

Generative AI’s healthcare professional role creep: a cross-sectional evaluation of publicly accessible, customised health-related GPTs

IntroductionGenerative artificial intelligence (AI) is advancing rapidly; an important consideration is the public’s increasing ability to customise foundational AI models to create publicly accessible applications tailored for specific tasks. This study aims to evaluate the accessibility and functi...

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Main Authors: Bianca Chu, Natansh D. Modi, Bradley D. Menz, Stephen Bacchi, Ganessan Kichenadasse, Catherine Paterson, Joshua G. Kovoor, Imogen Ramsey, Jessica M. Logan, Michael D. Wiese, Ross A. McKinnon, Andrew Rowland, Michael J. Sorich, Ashley M. Hopkins
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Public Health
Subjects:
customised GPTs
Generative AI in healthcare
AI health applications
medical chatbots
AI regulation
OpenAI GPT store
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1584348/full
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https://www.frontiersin.org/articles/10.3389/fpubh.2025.1584348/full

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