©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Surg. Jan 27, 2021; 13(1): 7-18
Published online Jan 27, 2021. doi: 10.4240/wjgs.v13.i1.7
Published online Jan 27, 2021. doi: 10.4240/wjgs.v13.i1.7
Role of artificial intelligence in hepatobiliary and pancreatic surgery
Hassaan Bari, Bobby V M Dasari, Department of HPB and Liver Transplantation Surgery, Queen Elizabeth Hospital, Birmingham B15 2TH, United Kingdom
Sharan Wadhwani, Department of Radiology, Queen Elizabeth Hospital, Birmingham B15 2TH, United Kingdom
Author contributions: Dasari BVM designed the study; Bari H and Dasari BVM performed the literature search and analyzed the literature; Dasari BVM and Wadhwani S provided expert input; Bari H, Dasari BVM and Wadhwani S wrote the manuscript; all authors have read and approve the final manuscript.
Conflict-of-interest statement: There are no conflicts of interest to declare from all the three authors.
Corresponding author: Bobby V M Dasari, MS, FRCS, Surgeon, Consultant HPB and Liver Transplant Surgeon, Department of Liver Surgery, Queen Elizabeth Hospital, Edgbaston, Birmingham B15 2TH, United Kingdom. bobby.dasari@uhb.nhs.uk
Received: October 28, 2020
Peer-review started: October 28, 2020
First decision: November 30, 2020
Revised: December 8, 2020
Accepted: December 17, 2020
Article in press: December 17, 2020
Published online: January 27, 2021
Processing time: 77 Days and 19.8 Hours
Peer-review started: October 28, 2020
First decision: November 30, 2020
Revised: December 8, 2020
Accepted: December 17, 2020
Article in press: December 17, 2020
Published online: January 27, 2021
Processing time: 77 Days and 19.8 Hours
Core Tip
Core Tip: The use of artificial intelligence (AI) increases hepatobiliary surgeons' capability in the timely selection of appropriate patients for precise, personalized delivery of complex surgical procedures with increased safety and ease. Published studies have mainly concentrated on assessing the technical feasibility of utilizing AI, and future research needs to focus on delivering and assessing the clinical impact of these promising techniques.