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AI Decision-Making Performance in Maternal–Fetal Medicine: Comparison of ChatGPT-4, Gemini, and Human Specialists in a Cross-Sectional Case-Based Study
0
Zitationen
10
Autoren
2025
Jahr
Abstract
AI shows promise in routine MFM decision-making but remains constrained in complex cases, where models sometimes under-prioritize maternal-fetal risk trade-offs or incompletely address alternative management pathways, warranting cautious integration into clinical practice. Generalizability is limited by the small number of simulated cases and the use of hypothetical vignettes rather than real-world clinical encounters.
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