OP03.09: Artificial intelligence (AI) weights the importance of factors predicting malignancy at the time of ultrasonographic (US) examination

Abstract

To determine whether artificial intelligence might be useful in weighting the importance of clinical and US variables predicting the risk of malignancy (ROM) in women undergoing surgery for ovarian masses. Using ANN we observed that the three main US factors predicting ROM included: colour score (importance: 0.259), presence of solid area(s) (importance: 0.212) and cysts' diameter (importance: 0.099). [Extracted from the article]