healthcare utilisation outcomes with artificial intelligence: a large

Predictive analytics for health-system decision support using population health data: a global scoping review of implementation, governance and decision integration.

A global scoping review of peer-reviewed studies published from 2014 to 2025 across five databases found peer-reviewed evidence remains dominated by model development, while integration into decision pathways and routine workflows is infrequently documented.

Mathematical foundations of artificial intelligence in healthcare: a systematic review

Artificial intelligence (AI) in healthcare relies on diverse mathematical frameworks, yet their contributions to model development, evaluation, interpretability, and clinical translation remain fragmented. This systematic review synthesized the classical and emerging mathematical foundations underpinning healthcare AI...

Assessing and improving data quality in health registries: a systematic review of dimensions, frameworks, and artificial intelligence-enabled approaches.

Advancing registry DQ requires a transition from retrospective validation toward proactive, lifecycle-integrated, and AI-enabled quality ecosystems, and registry-specific frameworks, interoperable infrastructures, and benchmarking strategies are essential.

The Role of Artificial Intelligence in Improving Healthcare Quality, Patient Safety, and Service Delivery: A Systematic Review of Real-World Applications

Background: Artificial intelligence (AI) is increasingly being integrated into healthcare systems to support clinical decision-making, improve patient safety, enhance quality of care, and optimize healthcare service delivery. Despite rapid technological development, evidence regarding the real-world impact of AI on hea...

Artificial intelligence in health insurance fraud detection: a global and regional systematic review

A systematic review of artificial intelligence and machine learning for public health predictions using electronic health records in low and middle income countries with comparative benchmarks from high income settings

This review synthesises studies on ML-based prediction using EHR or routinely collected electronic clinical data, with direct LMIC evidence analysed alongside high-income country (HIC) studies, included as methodological benchmarks.