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Articles Published Processes
7/10/2026 10:11:18 AM | Browse: 0 | Download: 0
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Received |
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2025-12-18 10:53 |
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Peer-Review Started |
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2025-12-18 10:53 |
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First Decision by Editorial Office Director |
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2026-01-07 03:16 |
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Return for Revision |
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2026-01-07 03:16 |
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Revised |
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2026-01-21 09:28 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-02-24 02:47 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-02-24 11:02 |
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Articles in Press |
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2026-02-24 11:02 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-06-25 09:03 |
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Publish the Manuscript Online |
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2026-07-10 10:11 |
| 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. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Anesthesiology |
| Manuscript Type |
Minireviews |
| Article Title |
Artificial intelligence in onco-anaesthesia: Current applications, challenges, and future directions
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| 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 |
| ORCID |
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| Funding Agency and Grant Number |
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| 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. |
| Publish Date |
2026-07-10 10:11 |
| 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; 16(3): 117916
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| URL |
https://www.wjgnet.com/2222-0682/full/v16/i3/117916.htm |
| DOI |
https://doi.org/10.5662/wjm.117916 |
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