Publication Name	World Journal of Clinical Cases
Manuscript ID	119786
Country	India

Category	Anesthesiology
Manuscript Type	Letter to the Editor
Article Title	Machine learning models for hospital-acquired functional decline in geriatric surgical patients: From prediction to prevention
Manuscript Source	Invited Manuscript
All Author List	Anjana S Wajekar, Gauri R Gangakhedkar and Ashwini D Rane
Funding Agency and Grant Number
Corresponding Author	Anjana S Wajekar, Professor, Department of Anesthesia, Critical Care and Pain, Advanced Centre for Treatment, Research and Education in Cancer, Tata Memorial Centre, Homi Bhabha National Institute, Sector 22, Utsav Chowk-CISF Road, Owe Camp, Kharghar, Navi Mumbai 410210, Maharashtra, India. anjanawajekar@gmail.com
Key Words	Frailty; Geriatric; Hospital-acquired functional decline; Machine learning; Prediction; Prevention
Core Tip	Machine learning for hospital-acquired functional decline will be truly successful not when it merely predicts decline, but when it enables timely interventions that prevent it.
Citation	Wajekar AS, Gangakhedkar GR, Rane AD. Machine learning models for hospital-acquired functional decline in geriatric surgical patient: From prediction to prevention. World J Clin Cases 2026; In press

Received	2026-02-06 00:56
Peer-Review Started	2026-02-06 00:58
First Decision by Editorial Office Director	2026-02-12 08:11
Return for Revision	2026-02-12 08:11
Revised	2026-02-13 14:35
Publication Fee Transferred
Second Decision by Editor	2026-03-16 02:39
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-03-16 11:11
Articles in Press	2026-03-16 11:11
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2307-8960 (online)
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