Clinical application of an AI model improves diagnostic accuracy in endometrial cancer cytology, suggesting enhanced decision-making.
The AI support model showed high and consistent accuracy in endometrial cytological analysis, regardless of diagnostic difficulty as perceived by human diagnosticians. Grad-CAM visualizations revealed diagnostic patterns, and the AI occasionally focused on regions different from those emphasized by human diagnosticians. This study advanced a real-time microscope-integrated AI system toward clinical application.
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Shimokawa et al. (2026) studied this question.
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