AI Outperforms Doctors in Ovarian Cancer Detection, Achieving 90% Accuracy Without Interference; 76% Accuracy with AI

Jan 8, 2025, 05:26 AM

A recent study from Karolinska Institutet in Sweden has demonstrated that artificial intelligence (AI) models can outperform human doctors in the detection of ovarian cancer. This finding highlights the potential of AI technology in enhancing diagnostic accuracy in oncology. In a separate study published in JAMA, researchers found that physicians using AI achieved a diagnostic accuracy of 76%, comparable to the 74% accuracy of those not using AI. Notably, when AI was utilized without any doctor intervention, the accuracy surged to 90%. Furthermore, a dataset involving 3,652 patients across 20 centers in eight countries indicated that an ultrasound-based AI model significantly reduced referrals to experts by 63% during a triage simulation, showcasing the robustness of AI across various systems and patient demographics. These studies collectively underscore the growing role of AI in medical diagnostics and its implications for patient care.