A recent paper by Nicoleta Economou and colleagues, published in Critical Care Journal, delves into the potential and challenges of using artificial intelligence (AI) in critical care. The review highlights how AI-powered clinical decision support systems (CDSS) can assist clinicians in the fast-paced ICU environment. The authors examine hurdles such as the “black-box” nature of predictive algorithms, biases in existing datasets, and barriers to integrating real-time, multidimensional data streams into clinical workflows. They emphasize that while AI holds promise for improving acute care, its development and deployment require careful attention to situational awareness, fairness, and trustworthiness. As AI-based tools continue to evolve, the paper underscores the importance of responsible innovation to ensure these technologies effectively support clinicians and enhance patient outcomes.