Artificial intelligence as a diagnostic support tool in hysteroscopy: current evidence and clinical implications

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.