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...

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Detalles Bibliográficos
Autores principales: Moglia, Andrea, Morelli, Luca, D’Ischia, Roberto, Fatucchi, Lorenzo Maria, Pucci, Valentina, Berchiolli, Raffaella, Ferrari, Mauro, Cuschieri, Alfred
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
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

Internet

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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