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- Title
P07.01: Artificial intelligence (AI) weights the importance of clinical and sonographic factors predicting malignancy in unilocular‐solid cysts before surgery.
- Authors
Chiappa, V.; Bogani, G.; Fruscio, R.; Franchi, D.; Urbinati, A.M. Vidal; Giuliani, D.; Marchette, M. Delle; Brunetti, F.; Murru, G.; Raspagliesi, F.
- Abstract
P07.01: Artificial intelligence (AI) weights the importance of clinical and sonographic factors predicting malignancy in unilocular-solid cysts before surgery Objective of this study is to determine whether artificial intelligence might be useful in weighting the importance of clinical and US variables predicting the ROM in women with unilocular-solid cysts before surgery. Clinical and US (according to IOTA Terms) data have been collected and the importance of variables used in predicting ROM has been evaluated using artificial neuronal network (ANN) analysis.
- Subjects
ARTIFICIAL intelligence; SURGERY; GYNECOLOGIC surgery
- Publication
Ultrasound in Obstetrics & Gynecology, 2019, Vol 54, p173
- ISSN
0960-7692
- Publication type
Article
- DOI
10.1002/uog.20933