Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
August 23, 2025Journal of Medicine and Health Research

Leveraging Artificial Intelligence in Mobile Health (Mhealth) to Enhance Non-Communicable Disease Management: A Systematic Review

View Full Paper
Ask AI
Bookmark
Share

Authors

FEFrancis EtangOOOjo Temilade OmotolaniDADeborah Oluwatobi Alabi

Discussion

Loading...

Member takes

Overview

Systematic review evaluates AI's role in mobile health for improving non-communicable disease outcomes, highlighting benefits and challenges.

Key Points

  • AI-enabled mHealth interventions improve health outcomes and patient engagement, addressing NCD management.
  • Significant benefits observed include enhanced personalization and predictive analytics for early disease detection.
  • Systematic review of AI in mHealth emphasizes behavior change theories like social cognitive theory and self-efficacy.
  • Challenges include data privacy concerns and inequitable access, necessitating ethical frameworks for effective adoption.

Cite This Study

Etang et al. (2025) studied this question.

synapsesocial.com/papers/68af6203ad7bf08b1eae2e56https://doi.org/10.56557/jomahr/2025/v10i29656
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1APPLICATION OF ARTIFICIAL INTELLIGENCE IN MOBILE HEALTH CARE APPLICATIONS: A SCOPING REVIEW2025
  2. 2Artificial intelligence in chronic disease self-management: current applications and future directions2025
  3. 3Artificial Intelligence Usage and Data Privacy Discoveries within mHealth2024
  4. 4Mobile Health Interventions: A Frontier for Mitigating the Global Burden of Cardiovascular Disease2024 · 5 citations
  5. 5THE ROLE OF MOBILE HEALTH APPLICATIONS IN CHRONIC DISEASE MANAGEMENT: CURRENT EVIDENCE ON DIABETES, HYPERTENSION, OBESITY, AND REMOTE PATIENT MONITORING- NARRATIVE REVIEW2026