Intelligent surgical workflow recognition for endoscopic submucosal dissection with real-time animal study.
Nat Commun
; 14(1): 6676, 2023 10 21.
Article
em En
| MEDLINE
| ID: mdl-37865629
ABSTRACT
Recent advancements in artificial intelligence have witnessed human-level performance; however, AI-enabled cognitive assistance for therapeutic procedures has not been fully explored nor pre-clinically validated. Here we propose AI-Endo, an intelligent surgical workflow recognition suit, for endoscopic submucosal dissection (ESD). Our AI-Endo is trained on high-quality ESD cases from an expert endoscopist, covering a decade time expansion and consisting of 201,026 labeled frames. The learned model demonstrates outstanding performance on validation data, including cases from relatively junior endoscopists with various skill levels, procedures conducted with different endoscopy systems and therapeutic skills, and cohorts from international multi-centers. Furthermore, we integrate our AI-Endo with the Olympus endoscopic system and validate the AI-enabled cognitive assistance system with animal studies in live ESD training sessions. Dedicated data analysis from surgical phase recognition results is summarized in an automatically generated report for skill assessment.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Endometriose
/
Ressecção Endoscópica de Mucosa
Limite:
Animals
/
Female
/
Humans
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article