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- Title
Artificial intelligence (AI) weights the importance of factors predicting malignancy at the time of ultrasonographic (US) examination.
- Authors
Chiappa, V.; Fruscio, R.; Franchi, D.; Tartamella, J.; Raspagliesi, F.; Bogani, G.
- Abstract
Highlights from the article: 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).
- Subjects
ARTIFICIAL intelligence; BIOLOGICAL systems; LEARNING
- Publication
Australasian Journal of Ultrasound in Medicine, 2019, Vol 22, Issue 2, p143
- ISSN
1836-6864
- Publication type
Article
- DOI
10.1002/ajum.12142