Generative AI's healthcare professional role creep: a cross-sectional evaluation of publicly accessible, customised health-related GPTs.
PMID: 40416675 ·
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
Abstract
Generative 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 functionality descriptions of customised GPTs on the OpenAI GPT store that provide health-related information or assistance to patients and healthcare professionals. We conducted a cross-sectional observational study o
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