AI/ML driven prediction of COPD exacerbations and readmissions: a systematic review and meta-analysis.

ABSTRACT:

Background

Chronic obstructive pulmonary disease (COPD) exacerbations and hospital readmissions are major drivers of morbidity, mortality, and healthcare costs. Artificial intelligence and machine learning (AI/ML) approaches have been applied to predict these events, but their pooled performance and methodological rigor remain unclear.

Methods

Following PRISMA 2020 guidelines, we conducted a systematic review and meta-analysis of peer-reviewed studies developing or validating AI/ML models for predicting acute exacerbations of COPD (AECOPD) or hospital readmissions. Databases (PubMed, IEEE Xplore, Cochrane Library, Semantic Scholar) were searched to 2025. Eligible designs included retrospective and prospective cohorts, randomized trials with embedded prediction, and case-cont

SUBMITTER: Niraula P 

PROVIDER: S-EPMC12756889 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature