Artificial Intelligence Has High Performance For Detecting Pcos

This review examines the utility of Artificial Intelligence (AI) and Machine Learning (ML) for the diagnosis and classification of Polycystic Ovarian Syndrome (PCOS). The study found that AI/ML techniques had high diagnostic and classification performance, with areas under the receiver operating characteristic curve ranging from 73 to 100 percent, and diagnostic accuracy ranging from 89 to 100 percent. Future studies should focus on enhancing methodological robustness and incorporating variables and outcomes of clinical importance.