AI Models Can Effectively Detect Ovarian Cancer from Ultrasound Images

Main Finding: AI-based models may enhance the clinical detection of ovarian cancer by supporting ultrasound analysis.
Concept: Transformer-based models trained on data from retrospective multicenter cohorts can outperform human examiners and streamline clinical triage.
Impact: This study demonstrates the potential clinical utility of using AI to improve the accuracy of ovarian cancer diagnosis.