Predicting Pain Response to a Remote Musculoskeletal Care Program for Low Back Pain Management: Development of a Prediction Tool.

ABSTRACT:

Background

Low back pain (LBP) presents with diverse manifestations, necessitating personalized treatment approaches that recognize various phenotypes within the same diagnosis, which could be achieved through precision medicine. Although prediction strategies have been explored, including those employing artificial intelligence (AI), they still lack scalability and real-time capabilities. Digital care programs (DCPs) facilitate seamless data collection through the Internet of Things and cloud storage, creating an ideal environment for developing and implementing an AI predictive tool to assist clinicians in dynamically optimizing treatment.

Objective

This study aims to develop an AI tool that continuously assists physical therapists in predicting an individual's potential f

SUBMITTER: C Areias A 

PROVIDER: S-EPMC11615557 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature