Artificial intelligence prediction of cholecystectomy operative course from automated identification of gallbladder inflammation.

Ward, Thomas M; Hashimoto, Daniel A; Ban, Yutong; Rosman, Guy; Meireles, Ozanan R

Ward, Thomas M; Hashimoto, Daniel A; Ban, Yutong; Rosman, Guy; Meireles, Ozanan R.

Affiliation

Ward TM; Surgical Artificial Intelligence and Innovation Laboratory, Department of Surgery, Massachusetts General Hospital, 15 Parkman St., WAC 460, Boston, MA, 02114, USA. tmward@mgh.harvard.edu.
Hashimoto DA; Surgical Artificial Intelligence and Innovation Laboratory, Department of Surgery, Massachusetts General Hospital, 15 Parkman St., WAC 460, Boston, MA, 02114, USA.
Ban Y; Surgical Artificial Intelligence and Innovation Laboratory, Department of Surgery, Massachusetts General Hospital, 15 Parkman St., WAC 460, Boston, MA, 02114, USA.
Rosman G; Distributed Robotics Laboratory, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.
Meireles OR; Surgical Artificial Intelligence and Innovation Laboratory, Department of Surgery, Massachusetts General Hospital, 15 Parkman St., WAC 460, Boston, MA, 02114, USA.

Surg Endosc ; 36(9): 6832-6840, 2022 09.

Article in En | MEDLINE | ID: mdl-35031869

Subject(s)
Key words

Artificial intelligence; Cholecystectomy; Computer Vision; Deep learning

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cholecystitis / Cholecystectomy, Laparoscopic / Gallbladder Diseases Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Surg Endosc Journal subject: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Year: 2022 Document type: Article Affiliation country: Estados Unidos Country of publication: Alemania

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