A critical appraisal of a 2026 systematic review on machine learning in surgical patient-reported outcome measures, with a forward research agenda.

A constructive reading of Mudallal et al. (2025) on predicting creativity among nurses with machine learning, and lessons for future research.

How a foundation model of electronic medical records predicts patient risk in hospitals, and what it means for early warning and clinical decisions.

What predicts medical students’ psychological resilience? Findings from a study combining machine learning and path analysis.

A systematic review of AI in predictive healthcare: algorithms, applications, performance and the gaps that limit clinical use.

Predicting nurses’ creativity and entrepreneurial ability with machine learning: findings and lessons for nursing management.

Predicting under-five mortality in low-SDI states of India with machine learning: methods and key predictors.

Machine learning and public health policy evaluation: methods, opportunities and limits.

How machine learning can enhance health policy literature reviews, from Cavallaro et al.

Predicting healthcare demand by combining Andersen’s behavioural model with machine learning.

Dong et al. (2025) on variable selection for machine learning in health services research: preprocessing, correlation screening, LASSO, random forests, Boruta and stepwise validation.