ArticleJournal of medical Internet research2025
AI Applications for Chronic Condition Self-Management: Scoping Review.
Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Facilitators and Barriers to Digital Health Technologies for Self-Management in Patients With Chronic Kidney Disease: Systematic Review Based on the Updated CFIR 2.0 Framework.Journal of medical Internet research · 2026Pooled it
- Artificial Intelligence in Self-Management of Gestational Diabetes Mellitus: A Systematic Review.Journal of medical systems · 2026Pooled it
- Digital Self-Management of Symptoms and Quality of Life for Patients With Advanced Cancer: A Randomized Clinical Trial.JAMA network open · 2026Trial
- "I know a little, but I can't do more": a COM-B-based qualitative study of CPAP use and sleep behaviour change among hospitalised patients with COMISA in China.BMC pulmonary medicine · 2026Article
- Drivers of Artificial Intelligence (AI) Adoption in Supporting Chronic Disease Management in Primary Care: A Scoping Review.Nursing reports (Pavia, Italy) · 2026Review
- Current status and global trends in self-care among patients with heart failure: challenges and opportunities.The journal of cardiovascular aging · 2026Article
- When Markets Shape AI Mental Health Self-Management Tools: Consequences for Serious Mental Illness.JMIR mental health · 2026Article
- Personal Health Large Language Models and the Negotiation of Medical Authority in Clinical Care: Opportunities, Risks, and Governance.Journal of medical Internet research · 2026Article
- Navigating Diabetes Management in the Digital Era: Scoping Review of Online Health Information-Seeking Behavior.Journal of medical Internet research · 2026Article
- From Integrated Care to Learning Systems.Healthcare (Basel, Switzerland) · 2026Review
- Forecasting the Impacts of Artificial Intelligence Assistance in Virtual Consultations for Chronic Obstructive Pulmonary Disease: Exploratory Futures Wheel Study.Journal of medical Internet research · 2026Article
- "ChatGPT knows my Parkinson's": Perspectives of people with Parkinson's disease on use of generative AI.Journal of Parkinson's disease · 2026Article
- An evidence-based nursing management app prototype for adult urology day surgery: an AI-driven development pathway.BMC nursing · 2026Article
- Improving self-care behaviors in patients with chronic obstructive pulmonary disease using a knowledge-based intelligent self-care system: protocol for a randomized controlled trial.Journal of thoracic disease · 2026Article
- Artificial intelligence in rural health care: A framework for responsible adoption, readiness, and access.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026Article
- "Your Digital Doctor Will Now See You": A Narrative Review of VR and AI Technology in Chronic Illness Management.Healthcare (Basel, Switzerland) · 2026Review
- Trust and verification in AI-enabled physician chatbots for chronic disease management: evidence from digital health behavior.Frontiers in medicine · 2026Article
- The Mediating Role of Patient Activation in the Association Between Illness Perception and Self-Management Behavior Among Patients with Oral Cancer.Patient preference and adherence · 2026Article
- AI-assisted hierarchical primary care and health equity among older adults with chronic diseases: a matched observational mixed-methods study in China.Frontiers in public health · 2026Observational
- Generative AI Chatbot for Diabetes Management: Formative 2-Part Qualitative Study Using DTalksBot Involving Patients and Clinicians.JMIR formative research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundArtificial intelligence (AI) has potential in promoting and supporting self-management in patients with chronic conditions. However, the development and application of current AI technologies to meet patients' needs and improve their performance in chronic condition self-management tasks remain poorly understood. It is crucial to gather comprehensive information to guide the development and selection of effective AI solutions tailored for self-management in patients with chronic conditions.
objectiveThis scoping review aimed to provide a comprehensive overview of AI applications for chronic condition self-management based on 3 essential self-management tasks, medical, behavioral, and emotional self-management, and to identify the current developmental stages and knowledge gaps of AI applications for chronic condition self-management.
methodsA literature review was conducted for studies published in English between January 2011 and October 2024. In total, 4 databases, including PubMed, Web of Science, CINAHL, and PsycINFO, were searched using combined terms related to self-management and AI. The inclusion criteria included studies focused on the adult population with any type of chronic condition and AI technologies supporting self-management. This review was conducted following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines.
resultsOf the 1873 articles retrieved from the search, 66 (3.5%) were eligible and included in this review. The most studied chronic condition was diabetes (20/66, 30%). Regarding self-management tasks, most studies aimed to support medical (45/66, 68%) or behavioral self-management (27/66, 41%), and fewer studies focused on emotional self-management (14/66, 21%). Conversational AI (21/66, 32%) and multiple machine learning algorithms (16/66, 24%) were the most used AI technologies. However, most AI technologies remained in the algorithm development (25/66, 38%) or early feasibility testing stages (25/66, 38%).
conclusionsA variety of AI technologies have been developed and applied in chronic condition self-management, primarily for medication, symptoms, and lifestyle self-management. Fewer AI technologies were developed for emotional self-management tasks, and most AIs remained in the early developmental stages. More research is needed to generate evidence for integrating AI into chronic condition self-management to obtain optimal health outcomes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.