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Publication Name World Journal of Methodology
Manuscript ID 117916
Country India
Category Anesthesiology
Manuscript Type Minireviews
Article Title Artificial intelligence in onco-anaesthesia: Current applications, challenges, and future directions
Manuscript Source Invited Manuscript
All Author List Prashant Sirohiya, Prateek Maurya, Nishkarsh Gupta, Brajesh Kumar Ratre, Saurabh Vig, Sidharth Puri, Balbir Kumar, Raghav Gupta, Shweta Bhopale and Anuja Pandit
Funding Agency and Grant Number
Corresponding Author Prashant Sirohiya, Assistant Professor, Department of Onco-Anaesthesia and Palliative Medicine, National Cancer Institute (Jhajjar), AIIMS, Badsa, New Delhi 110029, Delhi, India. prashantsirohiya@aiims.edu
Key Words Artificial intelligence; Onco-anaesthesia; Machine learning; Perioperative medicine; Cancer recurrence; Hemodynamic monitoring; Closed-loop anesthesia; Predictive analytics; Personalized medicine; Surgical oncology
Core Tip Artificial intelligence (AI) is redefining onco-anaesthesia by enabling the construction of “digital twins” for cancer patients, allowing clinicians to simulate and optimize anesthetic care before the first incision. This review highlights how AI algorithms, ranging from computer vision to natural language processing, are being deployed to predict adverse events like hypotension and delirium with unprecedented accuracy. By modulating the neuroendocrine stress response and facilitating opioid-sparing strategies, AI-augmented anesthesia may improve long-term cancer survival. However, the successful integration of these tools requires rigorous validation, ethical oversight, and a commitment to explainable AI to ensure clinical trust and patient safety.
Citation Sirohiya P, Maurya P, Gupta N, Ratre BK, Vig S, Puri S, Kumar B, Gupta R, Bhopale S, Pandit A. Artificial intelligence in onco-anaesthesia: Current applications, challenges, and future directions. World J Methodol 2026; In press
Received
2025-12-18 10:53
Peer-Review Started
2025-12-18 10:53
First Decision by Editorial Office Director
2026-01-07 03:16
Return for Revision
2026-01-07 03:16
Revised
2026-01-21 09:28
Publication Fee Transferred
Second Decision by Editor
2026-02-24 02:47
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-02-24 11:02
Articles in Press
2026-02-24 11:02
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 2222-0682 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Copyright ©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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