Comparing Artificial Intelligence and Traditional Regression Models in Lung Cancer Risk Prediction: A Systematic Review and Meta-Analysis.

Purpose: Accurately identifying individuals who are at high risk of lung cancer is critical to optimize lung cancer screening with low-dose CT (LDCT). We sought to compare the performance of traditional regression models and artificial intelligence (AI)-based models in predicting future lung cancer risk.

Methods: A systematic review and meta-analysis were conducted with reporting according to PRISMA guidelines.

Impact of sleep on postpartum health outcomes: a systematic review and meta-analysis.

Objective: To examine the impact of postpartum sleep interventions and postpartum sleep on maternal health outcomes.

Design: Systematic review with random-effects meta-analysis. Online databases were searched on 12 January 2024.

Impact of postpartum physical activity on maternal sleep: a systematic review and meta-analysis.

Objective: To examine the relationship between postpartum physical activity and maternal sleep.

Design: Systematic review with random-effects meta-analysis. Online databases were searched through 20 January 2025.