Detecting cancer at an early stage is crucial for effective prevention and treatment. Today, there is another ally that is learning very quickly and becoming increasingly accurate: artificial intelligence. This is the conclusion of a recent study published in Nature Medicine and co-authored by Robert Fruscio, Associate Professor of Gynaecology and Obstetrics at the University of Milano-Bicocca and Director of the Struttura semplice di Ginecologia Preventiva at the IRCCS San Gerardo dei Tintori Foundation: the research, carried out by a team from the Karolinska Institutet in Sweden, involved 20 centres in eight countries and analysed a dataset of more than 17. 000 ultrasound images from more than 3 600 patients, some of whom were referred to the San Gerardo Hospital in Monza. The aim was to train an artificial intelligence programme to distinguish benign from malignant ovarian lesions in these images and to test the potential of these models to support medical diagnosis, reduce the margin of diagnostic error and improve clinical management of patients.