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Ensemble deep learning for the prediction of proficiency at a virtual simulator for robot-assisted surgery
BACKGROUND: Artificial intelligence (AI) has the potential to enhance patient safety in surgery, and all its aspects, including education and training, will derive considerable benefit from AI. In the present study, deep-learning models were used to predict the rates of proficiency acquisition in ro...
Autores principales: | Moglia, Andrea, Morelli, Luca, D’Ischia, Roberto, Fatucchi, Lorenzo Maria, Pucci, Valentina, Berchiolli, Raffaella, Ferrari, Mauro, Cuschieri, Alfred |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402513/ https://www.ncbi.nlm.nih.gov/pubmed/35020053 http://dx.doi.org/10.1007/s00464-021-08999-6 |
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