Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
July 16, 2025FUDMA Journal of Sciences

Application of Artificial Intelligence in Mobile Health Care Applications: A Scoping Review

View Full Paper
Ask AI
Bookmark
Share

Authors

ISIbrahim Anka SalihuAUAsmau UsmanAAAhmad Hauwa Amshi

Discussion

Loading...

Member takes

Overview

Review analyzes effectiveness and trends of AI in mobile health, highlighting its impact on chronic disease and personalized support.

Key Points

  • AI integration with mobile health applications is transforming healthcare delivery, particularly in disease detection.
  • The review examines trends from 2015 to 2025, noting increasing scholarly interest in AI-powered mHealth solutions.
  • Neural networks and deep learning dominate the types of AI algorithms employed in these applications.
  • Findings suggest AI-powered mHealth apps hold significant potential to enhance personalized healthcare and improve user experience.

Cite This Study

Salihu et al. (2025) studied this question.

synapsesocial.com/papers/689a02c3e6551bb0af8ccb02https://doi.org/10.33003/fjs-2025-0907-3624
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. 1The Impact of Artificial Intelligence on Healthcare Delivery: A Systematic Review of Current Applications and Future Prospects2024
  2. 2Artificial Intelligence Usage and Data Privacy Discoveries within mHealth2024
  3. 3Leveraging Artificial Intelligence in Mobile Health (Mhealth) to Enhance Non-Communicable Disease Management: A Systematic Review2025
  4. 4Artificial Intelligence in Healthcare. A review of recent trends, applications, challenges and future directions2026
  5. 5Cutting-edge Applications of Artificial Intelligence in Medical Science, Healthcare, and Treatment: A Comprehensive and Transformative Review2025 · 1 citations