Are there AI tools that predict the risk of hospital readmission?

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Tripdatabase
DOI: 10.5281/zenodo.18190624
Cited by: 0

Abstract

AI and machine learning models have potential in predicting hospital readmission risks, though their clinical implementation remains limited due to variability in predictive accuracy and practical challenges.

Fields of Study & Subjects

Heart Failure Treatment and Management Machine Learning in Healthcare Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 January 2026