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Enhancing perinatal health patient information through ChatGPT – An accuracy study
8
Zitationen
12
Autoren
2025
Jahr
Abstract
Despite a growing interest in the potential use of artificial intelligence in healthcare, this is, to the best of our knowledge, the first study assessing potential limitations that may impact accuracy of ChatGPT-generated recommendations such as language and question-framing in key domains of perinatal health.
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Autoren
Institutionen
- University of Lausanne(CH)
- University of Bern(CH)
- University of Fribourg(CH)
- Radboud University Nijmegen(NL)
- Radboud University Medical Center(NL)
- KU Leuven(BE)
- SIB Swiss Institute of Bioinformatics(CH)
- HES-SO University of Applied Sciences and Arts Western Switzerland(CH)
- University Hospital of Lausanne(CH)