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

Key Points

• To evaluate the role of artificial intelligence as a diagnostic support tool in hysteroscopy.
• Reviewed current evidence on AI applications in hysteroscopy.
• Identified key areas for future research to enhance clinical implementation.
• Emphasized the importance of multicenter collaborations and standardized imaging protocols.
• AI shows significant promise for improving diagnostic accuracy in hysteroscopy.
• Enhanced consistency and decision-making during procedures are noted benefits.
• Future research highlights the necessity for explainable AI models and external validation.