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].
