Fiche publication
Date publication
mai 2022
Journal
Hernia : the journal of hernias and abdominal wall surgery
Auteurs
Membres identifiés du Cancéropôle Est :
Pr MARESCAUX Jacques
,
Pr MUTTER Didier
Tous les auteurs :
Takeuchi M, Collins T, Ndagijimana A, Kawakubo H, Kitagawa Y, Marescaux J, Mutter D, Perretta S, Hostettler A, Dallemagne B
Lien Pubmed
Résumé
Because of the complexity of the intra-abdominal anatomy in the posterior approach, a longer learning curve has been observed in laparoscopic transabdominal preperitoneal (TAPP) inguinal hernia repair. Consequently, automatic tools using artificial intelligence (AI) to monitor TAPP procedures and assess learning curves are required. The primary objective of this study was to establish a deep learning-based automated surgical phase recognition system for TAPP. A secondary objective was to investigate the relationship between surgical skills and phase duration.
Mots clés
Artificial intelligence, Automatic surgical phase recognition, Laparoscopic inguinal hernia repair, Learning curve
Référence
Hernia. 2022 May 10;:
