OP03.02: Artificial intelligence applied to ultrasound diagnosis of pelvic gynecological tumours: a systematic scoping review and meta‐analysis.

This article discusses the use of artificial intelligence (AI) in the diagnosis of pelvic gynecological tumors using ultrasound imaging. The authors conducted a systematic scoping review and meta-analysis of published studies on this topic. They found that while AI has the potential to enhance diagnostic accuracy and efficiency, current AI models for US diagnosis of gynecological tumors have methodological shortcomings. The authors also noted that AI models for diagnosing adnexal malignancy did not outperform the ADNEX model, a logistic regression model based on US measurements. [Extracted from the article]