Using artificial intelligence to evaluate adherence to best practices in one anastomosis gastric bypass: first steps in a real-world setting.

Journal: Surgical endoscopy
PMID:

Abstract

BACKGROUND: Safety in one anastomosis gastric bypass (OAGB) is judged by outcomes, but it seems reasonable to utilize best practices for safety, whose performance can be evaluated and therefore improved. We aimed to test an artificial intelligence-based model in real world for the evaluation of adherence to best practices in OAGB.Please check and confirm that the authors and their respective affiliations have been correctly identified and amend if necessary.

Authors

  • Danit Dayan
    Division of General Surgery, Affiliated to Sackler Faculty of Medicine, Tel Aviv Medical Center, Tel Aviv University, 6, Weizman St., 6423906, Tel Aviv-Yafo, Israel. danitd.75@gmail.com.
  • Eran Nizri
    Division of General Surgery, Affiliated to Sackler Faculty of Medicine, Tel Aviv Medical Center, Tel Aviv University, 6, Weizman St., 6423906, Tel Aviv-Yafo, Israel.
  • Andrei Keidar
    Division of General Surgery, Bariatric Unit, Tel Aviv Medical Center, Affiliated to Sackler Faculty of Medicine, Tel Aviv University, 6, Weizman St, 6423906, Tel- Aviv, Israel.