10, May 2026

Integration of Artificial Intelligence with the Biopsychosocial Model enables Continuous, Personalized, and Multidimensional Pain Management in Geriatric Population -A Narrative Review

VOLUME-12; ISSUE-5; MAY-2026

Author(s): 1. Dr. Sharma Anita, 2 Dr. Agnihotri Rucha, 2. Dr. Deolankar Apurva

Authors Affiliations:

1 Principal and Professor, Dhaneshwari College of Physiotherapy, Chh. Sambhajinagar, India

2Assistant Professor, Dhaneshwari College of Physiotherapy, Chh. Sambhajinagar, India

DOIs:10.2015/IJIRMF/202605005     |     Paper ID: IJIRMF202605005


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Population ageing has resulted in an increase in chronic pain that has become one of the major causes of disability and poor quality of life in older patients. In geriatric patients, pain may be caused by various factors, such as biological, psychological, and sociological elements. To explain this phenomenon, the biopsychosocial approach has been developed, but its use is hindered by difficulties related to data integration and personalization. Traditional pain management strategies have a primarily biomedical orientation, focusing on pharmacology without considering the psychosocial dimension and thus resulting in polypharmacy and negative consequences. The development of artificial intelligence technologies creates new prospects for overcoming these barriers, allowing researchers to process large amounts of heterogeneous data and make evidence-based clinical decisions in real time. Artificial intelligence includes various methodologies, including machine learning, deep learning, and natural language processing, which help evaluate pain objectively, predict the course of the disease, and develop individual therapy plans. This review highlights the integration of artificial intelligence within the biopsychosocial framework to enhance geriatric pain management. The proposed approach enables multidimensional assessment and personalized care. Despite its potential, challenges such as data quality, ethical concerns, and accessibility must be addressed to ensure effective implementation.

Keywords- Artificial intelligence; Biopsychosocial model; Chronic pain; Geriatric population; Pain management; Machine learning; Personalized medicine; Telerehabilitation

Dr. Sharma Anita, Dr. Agnihotri Rucha,  Dr. Deolankar Apurva (2026); Integration of Artificial Intelligence with the Biopsychosocial Model enables Continuous, Personalized, and Multidimensional Pain Management in Geriatric Population – A Narrative Review, International Journal for Innovative Research in Multidisciplinary Field, ISSN(O): 2455-0620, Vol-12, Issue-5, Available on –   https://www.ijirmf.com/

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