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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
Yun-Hua  LiYun-Hua Li1Na  LiNa Li2Zhi-xia  LiuZhi-xia Liu3Shuang  DuShuang Du2Yujiang  ShuaiYujiang Shuai2Renjun  YangRenjun Yang2Lei  XuLei Xu2Xiaoyan  LiXiaoyan Li2Yang  JiangYang Jiang4Wenwen  LiWenwen Li2*
  • 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

The final, formatted version of the article will be published soon.

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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