Publication Name	World Journal of Critical Care Medicine
Manuscript ID	120560
Country	India

Category	Critical Care Medicine
Manuscript Type	Minireviews
Article Title	Artificial intelligence for early sepsis detection and dynamic prognostication in onco-critical care
Manuscript Source	Invited Manuscript
All Author List	Prashant Sirohiya, Prateek Maurya, Sakshi Arora, Brajesh Kumar Ratre, Ram Singh and Balbir Kumar
Funding Agency and Grant Number
Corresponding Author	Prashant Sirohiya, Assistant Professor, Department of Onco-Anaesthesia and Palliative Medicine, National Cancer Institute (Jhajjar), All India Institute of Medical Sciences, Badsa, New Delhi 110029, Delhi, India. prashantsirohiya@aiims.edu
Key Words	Onco-critical care; Sepsis; Artificial intelligence; Machine learning; Febrile neutropenia; Prognostication; Explainable artificial intelligence; Electronic health records
Core Tip	Integrating artificial intelligence (AI) and machine learning into onco-critical care could enable earlier sepsis detection and better risk assessment in critically ill cancer patients. Traditional scoring systems like Sequential Organ Failure Assessment and Acute Physiology and Chronic Health Evaluation II may be limited due to physiological traits like immunosuppression and treatment side effects. Emerging AI models that use real-time health data, vital signs, and unstructured clinical info show promise. Still, most evidence comes from retrospective studies and general intensive care unit data, and their use in oncology settings needs more validation. Explainable AI aids interpretability and clinician trust but should supplement, not replace, clinical judgment. More studies are needed for widespread adoption.
Citation	Sirohiya P, Maurya P, Arora S, Ratre BK, Singh R, Kumar B. Artificial intelligence for early sepsis detection and dynamic prognostication in onco-critical care. World J Crit Care Med 2026; In press

Received	2026-03-02 03:32
Peer-Review Started	2026-03-02 03:34
First Decision by Editorial Office Director	2026-04-03 06:38
Return for Revision	2026-04-03 06:38
Revised	2026-04-09 15:30
Publication Fee Transferred
Second Decision by Editor	2026-06-02 02:42
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-06-02 06:57
Articles in Press	2026-06-02 06:57
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2220-3141(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.
Permissions	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher	Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website	http://www.wjgnet.com