ReviewJournal of medical Internet research2023
Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges.
Review in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06687538 (The Effect of Education to be Provided to Patients to Undergo Prostate Surgery With Mobile Application on Patient Outcomes), which is not on this map. Cited by 117 papers, 12 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The Effect of Education to be Provided to Patients to Undergo Prostate Surgery With Mobile Application on Patient Outcomes
Who cites it
117 citing papers in PubMed, 12 syntheses or guidelines pooled it, 208 citations in OpenAlex.
- Safer Sleep Guidance in Standalone UK Smartphone Apps for Parents of Newborns and Infants: Systematic mHealth App Review.JMIR mHealth and uHealth · 2026Pooled it
- Precision Health Approaches in Primary Childhood Obesity Prevention: A Systematic Review of Tailored and Risk-Based Interventions.Pediatric obesity · 2026Pooled it
- Artificial intelligence adoption in healthcare: a systematic review of implementation challenges and health services implications.BMC health services research · 2026Pooled it
- Evaluating Effectiveness of mHealth Interventions for Rehabilitation in Patients With Head and Neck Cancer: Systematic Review and Meta-Analysis of Randomized Controlled Trials.JMIR mHealth and uHealth · 2026Pooled it
- Physical and Psychological Effects of Smartphone App-Based Walking Interventions in Community-Dwelling Older Adults: Systematic Review and Behavior Change Technique-Informed Analysis.JMIR human factors · 2026Pooled it
- Smartphone application-based interventions for cardiometabolic risk factor management: A systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026Pooled it
- The Landscape of Mobile Apps for Healthy Eating: Case Study for a Systematic Review and Quality Assessment.JMIR mHealth and uHealth · 2026Pooled it
- Digital Health Technologies for Diabetic Foot Ulcers: A Systematic Review of Clinical Evidence, Access Inequities, and Public Health Integration.International journal of environmental research and public health · 2025Pooled it
- Understanding Inequalities in Mobile Health Utilization Across Phases: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Machine learning for the prediction of diabetes-related amputation: a systematic review and meta-analysis of diagnostic test accuracy.Clinical and experimental medicine · 2025Pooled it
- Mapping the research landscape of mHealth and technology in pediatric chronic illness: a bibliometric study.Frontiers in digital health · 2025Pooled it
- A 25-Year Retrospective of the Use of AI for Diagnosing Acute Stroke: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Multimodal Personalized Mobile Health Just-in-Time Adaptive Intervention for Occupational Stress Management: Pilot Study.JMIR mHealth and uHealth · 2026Trial
- Structural analysis of causal pathways between adherence, satisfaction and clinical outcomes in hypertensive patients using a mobile adherence intervention: A SEM-NCA-cIPMA approach.Journal of human hypertension · 2026Trial
- Development and implementation of personalized postoperative care plans for gynecological oncology patients under the precision medicine paradigm: strategies to enhance patient participation and self-management capacity.World journal of surgical oncology · 2026Trial
- Feasibility of the "LvL UP" trial: a pilot sequential multiple assignment randomised trial of an adaptive, holistic mHealth lifestyle coaching intervention.The international journal of behavioral nutrition and physical activity · 2026Trial
- Impact of a self management mobile application on quality of life and limb circumference in women with breast cancer related lymphedema.Scientific reports · 2025Trial
- Automatic Image Recognition Meal Reporting Among Young Adults: Randomized Controlled Trial.JMIR mHealth and uHealth · 2025Trial
- Impact of 12-Month mHealth Home Telemonitoring on Clinical Outcomes in Older Individuals With Hypertension and Type 2 Diabetes: Multicenter Randomized Controlled Trial.JMIR mHealth and uHealth · 2025Trial
- Effectiveness of an Internet-Based, Self-Guided, Short-Term Mindfulness Training (ISSMT) Program for Relieving Depressive Symptoms in the Adult Population in China: Single-Blind, Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
57 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of artificial intelligence (AI) and big data in medicine has increased in recent years. Indeed, the use of AI in mobile health (mHealth) apps could considerably assist both individuals and health care professionals in the prevention and management of chronic diseases, in a person-centered manner. Nonetheless, there are several challenges that must be overcome to provide high-quality, usable, and effective mHealth apps. Here, we review the rationale and guidelines for the implementation of mHealth apps and the challenges regarding quality, usability, and user engagement and behavior change, with a special focus on the prevention and management of noncommunicable diseases. We suggest that a cocreation-based framework is the best method to address these challenges. Finally, we describe the current and future roles of AI in improving personalized medicine and provide recommendations for developing AI-based mHealth apps. We conclude that the implementation of AI and mHealth apps for routine clinical practice and remote health care will not be feasible until we overcome the main challenges regarding data privacy and security, quality assessment, and the reproducibility and uncertainty of AI results. Moreover, there is a lack of both standardized methods to measure the clinical outcomes of mHealth apps and techniques to encourage user engagement and behavior changes in the long term. We expect that in the near future, these obstacles will be overcome and that the ongoing European project, Watching the risk factors (WARIFA), will provide considerable advances in the implementation of AI-based mHealth apps for disease prevention and health promotion.
Indexed as
Identifiers
What OpenQuestion holds
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.