The effectiveness of artificial intelligence health education accurately linking system on self-management in non-specific lower back pain patients

Bibliographic Data

ID22088167
AuthorsYunhua Li (0000-0001-6573-1267, Chengdu Medical College), Yun-Hua Li, Na Li (0000-0002-1103-6864, Jiangsu University), Zhi-xia Liu (Henan University of Science and Technology), Shuang Du (0000-0001-8778-735X), S X Du (0009-0002-4693-5429, Jiangsu University), Shuai Yu (0009-0000-4195-5522, Jiangsu University), Yujiang Shuai, Renjun Yang (Jiangsu University), Lei Xu (0009-0000-3744-0753, Jiangsu University), Xiaoyan Li (0000-0001-5383-1236, Jiangsu University), Yang Jiang (0000-0002-9193-6888, North China University of Science and Technology, corresponding author), Wenwen Li (0000-0003-2237-9499), Wen Li (0009-0001-7707-3780, Jiangsu University, corresponding author)
Year2025
Volume13
Pages1630329-1630329
Publication date2025-09-11
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1630329
PMID41018793
OpenAlexW4414137626
LanguageEN
References cited57

Background: Integrating artificial intelligence (AI) with mobile health is revolutionizing chronic disease management. Non-specific lower back pain (NSLBP), a leading worldwide disabling condition, negatively impairs patient quality of life and psychological status. Standard treatments, mostly pharmacological and physiotherapies, do not offer long-term support for self-management. Consequently, we developed the AI-Health Education Accurately Linking System (AI-HEALS) to investigate its application in improving self-management, alleviating pain, and enhancing overall life quality for NSLBP patients. Methods: This study utilizes a randomized controlled trial (RCT) to evaluate the effectiveness of a three-month AI-HEALS intervention in improving self-management among patients with NSLBP. Participants are randomly assigned to either a control group receiving standard care or an intervention group receiving standard care supplemented by the AI-HEALS program. The intervention features an AI-powered, voice-activated interactive Q&A system, along with physiological monitoring, regular reminders, and tailored educational content. These services are primarily delivered via a WeChat official account titled "NSLBP Health Management Expert." The AI-HEALS system builds its knowledge base based on NSLBP treatment guidelines to ensure the accuracy and reliability of the information provided. The primary outcome measure is pain intensity, while secondary outcomes assess self-management behaviors, psychological well-being, and physiological parameters. Discussion: AI-HEALS program combines AI with mobile health to provide an organized platform for efficient home care of NSLBP, alleviating pain, enhancing quality of life, and lessening dependency upon conventional medical resources. Results from this study will establish AI-HEALS' effectiveness in managing chronic diseases and provide a science basis for subsequent health intervention. Clinical trial registration: Identifier, CHICTR2400090707

Alternative medicine · Back pain · Health education · Low back pain · MEDLINE · Artificial Intelligence in Healthcare and Education · Digital Mental Health Interventions · Musculoskeletal pain and rehabilitation

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