Cargando…
Development of an artificial intelligence system using deep learning to indicate anatomical landmarks during laparoscopic cholecystectomy
BACKGROUND: The occurrence of bile duct injury (BDI) during laparoscopic cholecystectomy (LC) is an important medical issue. Expert surgeons prevent intraoperative BDI by identifying four landmarks. The present study aimed to develop a system that outlines these landmarks on endoscopic images in rea...
Autores principales: | Tokuyasu, Tatsushi, Iwashita, Yukio, Matsunobu, Yusuke, Kamiyama, Toshiya, Ishikake, Makoto, Sakaguchi, Seiichiro, Ebe, Kohei, Tada, Kazuhiro, Endo, Yuichi, Etoh, Tsuyoshi, Nakashima, Makoto, Inomata, Masafumi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940266/ https://www.ncbi.nlm.nih.gov/pubmed/32306111 http://dx.doi.org/10.1007/s00464-020-07548-x |
Ejemplares similares
-
Artificial intelligence software available for medical devices: surgical phase recognition in laparoscopic cholecystectomy
por: Shinozuka, Ken’ichi, et al.
Publicado: (2022) -
Impact of AI system on recognition for anatomical landmarks related to reducing bile duct injury during laparoscopic cholecystectomy
por: Endo, Yuichi, et al.
Publicado: (2023) -
Operative Timing of Laparoscopic Cholecystectomy for Acute Cholecystitis in a Japanese Institute
por: Ohta, Masayuki, et al.
Publicado: (2012) -
Rouviere's sulcus - An anatomical landmark for safe laparoscopic cholecystectomy: A cross-sectional study
por: Basukala, Sunil, et al.
Publicado: (2022) -
A case of advanced gastric cancer achieved a pathological complete response by chemotherapy
por: Tada, Kazuhiro, et al.
Publicado: (2017)