STUDY PROTOCOL article
Front. Public Health
Sec. Public Health Education and Promotion
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1630329
This article is part of the Research TopicAI in Public Health Teaching and Education: Current Trends and Future OutlookView all articles
The Effectiveness of Artificial Intelligence Health Education Accurately Linking System on Self-Management in Non-Specific Lower Back Pain Patients
Provisionally accepted- 1Chengdu University of Arts and Sciences, 四川成都, China
- 2Jintang First People's Hospital, Chengdu, China
- 3Henan University of Science and Technology, Luoyang, China
- 4North China University of Science and Technology, Tangshan, China
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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 This is a provisional file, not the final typeset article 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. Trial registration: The Ethics Committee of Jintang First People's Hospital: 20240912045, 12/09/2024; Clinical Trials: CHICTR2400090707, 12/10/2024.
Keywords: artificial intelligence, AI-HEALS, Large Language Model, Non-Specific LowerBack Pain, mobile health, rct
Received: 17 May 2025; Accepted: 19 Aug 2025.
Copyright: © 2025 Li, Li, Liu, Du, Shuai, Yang, Xu, Li, Jiang and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Wenwen Li, Jintang First People's Hospital, Chengdu, China
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