AI improves diagnostic accuracy in hysteroscopy, suggesting the need for standardized protocols and collaboration.
AI applied to hysteroscopy shows considerable promise for enhancing diagnostic accuracy, consistency, and intraoperative decision-making. To enable translation into practice, future research should emphasize multicenter collaborations, standardized imaging protocols, external validation, and the development of explainable models that can be trusted in clinical settings.
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Ferrari et al. (2026) studied this question.
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