Published: 22 January 2024
Author(s): J.M. Garcia-Alamino, R. Pirracchio
Issue: March 2024
Section: Commentary

The potential of medical applications of Artificial Intelligence (AI)/ Machine Learning (ML) has generated growing interest in recent years as AI/ML is anticipated to significantly influence not only the field of medicine but also various facets of healthcare. Since 2017, there has been a marked increase in the number of published systematic reviews that assess medical AI studies [1]. The realm of AI/ML in critical care medicine stands on the cusp of a revolution. In the systematic review and meta-analysis published in this issue of the European Journal of Internal Medicine an attempt was made to harness ML-based prediction models to confront one of the critical care's formidable adversaries: ventilator-associated pneumonia (VAP) [2].


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