Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
July 21, 2025

AI-Driven Innovations in Diagnostics, Remote Monitoring, and Clinical Decision Support Systems: A Systematic Review (Preprint)

View Full Paper
Ask AI
Bookmark
Share

Authors

KEKhalid ElgazzarPWPeter WadieCECarren Eissa

Discussion

Loading...

Member takes

Overview

Systematic review evaluates AI's impact on diagnostics and clinical decision support, highlighting challenges in healthcare systems.

Key Points

  • MAIN FINDING: AI significantly enhances diagnostic accuracy in areas like medical imaging and oncology.
  • KEY EVIDENCE: Of 912 studies reviewed, 60 met criteria, showcasing AI's role in improving real-time monitoring and treatment.
  • APPROACH: The review followed PRISMA guidelines and synthesized peer-reviewed articles published from 2020 to 2025.
  • SIGNIFICANCE: Addressing data quality and algorithmic bias is crucial for AI's successful integration in healthcare.

Cite This Study

Elgazzar et al. (2025) studied this question.

synapsesocial.com/papers/689a0614e6551bb0af8cd4cchttps://doi.org/10.2196/preprints.80928
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 in Patient Care: A Systematic Review of Modern Healthcare Innovations2025
  3. 3Intelligent systems for healthcare diagnostics and treatment2024 · 22 citations
  4. 4Artificial Intelligence in Health Care: Clinical Opportunities, Validation Trends, and Implementation Challenges (2020–2025)2026
  5. 5Artificial Intelligence in Clinical Medicine: Challenges Across Diagnostic Imaging, Clinical Decision Support, Surgery, Pathology, and Drug Discovery2025 · 97 citations