TY  - GEN 
AU  - García-Mejido, José Antonio
AU  - Galán Paez, Juan
AU  - Solís Martín, David
AU  - Martín Morán, Marina
AU  - Borrero-Gonzalez, Carlota
AU  - Fernández-Gómez, Alfonso
AU  - Fernández Palacín, Fernando
AU  - Sainz Bueno, José Antonio
A4  - Estadística e Investigación Operativa
PY  - 2025
SN  - 1097-0096
SN  - 0091-2751
UR  - http://hdl.handle.net/10498/37871
AB  - Purpose
To create and validate a machine learning(ML) model that allows for identifying the correct capture of the midsagittal plane in a dynamic ultrasound study, as well as establishing its concordance with a senior explorer and a junior...
LA  - eng
PB  - Wiley
KW  - artificial intelligence
KW  - gradient boosting
KW  - levator ani muscle
KW  - machine learning
KW  - pelvic floor
KW  - ultrasonography
KW  - XGBoost
TI  - Artificial Intelligence to Determine Correct Midsagittal Plane in Dynamic Transperineal Ultrasound
DO  - 10.1002/JCU.24050
ER  -