Publication Name	World Journal of Gastroenterology
Manuscript ID	62719
Country	India

Category	Surgery
Manuscript Type	Minireviews
Article Title	Artificial intelligence in perioperative management of major gastrointestinal surgeries
Manuscript Source	Invited Manuscript
All Author List	Sohan Lal Solanki, Saneya Pandrowala, Abhirup Nayak, Manish Bhandare, Reshma P Ambulkar and Shailesh V Shrikhande
Funding Agency and Grant Number
Corresponding Author	Sohan Lal Solanki, MD, Professor, Department of Anesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, E Borges Marg, Parel, Mumbai 400012, Maharashtra, India. me_sohans@yahoo.co.in
Key Words	Algorithms; Artificial intelligence; Big data; Data management; Machine learning; Perioperative care
Core Tip	Artificial intelligence (AI) has revolutionized the way surgery and anesthesia is taught and practiced. Applications of AI in anesthesia are risk prediction, control of anesthesia by closed loop anesthesia delivery system, monitoring depth of anesthesia, intubating robots, monitoring cardiac output based on algorithms and ultrasound guidance. In surgery, AI focuses on generating evidence-based, real-time clinical decision support designed to optimize patient care and surgeon workflow. AI can be used to appropriately convey the results of prognostications, and treatment algorithms to patients. Though, be aware of the lack of problem-solving by AI and dependence of human analytical solving.
Citation	Solanki SL, Pandrowala S, Nayak A, Bhandare M, Ambulkar RP, Shrikhande SV. Artificial intelligence in Perioperative Management of Major Gastrointestinal Surgeries. World J Gastroenterol 2021; 27(21): 2758-2770

Received	2021-01-16 16:21
Peer-Review Started	2021-01-16 16:22
To Make the First Decision
Return for Revision	2021-03-29 05:35
Revised	2021-04-06 07:59
Second Decision	2021-04-28 07:40
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2021-04-28 08:13
Articles in Press	2021-04-28 08:13
Publication Fee Transferred
Edit the Manuscript by Language Editor	2021-05-04 03:42
Typeset the Manuscript	2021-05-18 07:04

ISSN	1007-9327 (print) and 2219-2840 (online)
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