AI decision-making performance in Maternal-Fetal Medicine compared with human specialists: a cross-sectional study
Background : Large Language Models (LLMs), such as ChatGPT-4 and Gemini, are increasingly used in clinical care; however, reliability in Maternal–Fetal Medicine (MFM) remains uncertain. Objective : evaluating alignment of AI case management recommenda
Authors
- Noa Gonen (ORCID: https://orcid.org/0000-0003-0106-747X)
- Yael Ganor Paz (ORCID: https://orcid.org/0000-0002-4275-1780)
- Amihai Rottenstreich
- Kira Nahum Sacks (ORCID: https://orcid.org/0000-0002-9654-1631)
- Eran Weiner (ORCID: https://orcid.org/0000-0002-2464-8616)
- Ilia Kleiner (ORCID: https://orcid.org/0000-0003-0784-3388)
- Matan Friedman (ORCID: https://orcid.org/0009-0003-7627-0410)
- Amit Slouk
- Laura Guzy
Institutions
- Wolfson Medical Center (IL)
Publication Details
- Published
- 2025-10-04
- DOI
- https://doi.org/10.22541/au.175958835.54830943/v1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00