Opinion review highlights AI's role in improving patient outcomes in COVID-19 critical care, suggesting innovative applications.
This opinion review paper explores the application of artificial intelligence (AI) as a decisive tool in managing complex coronavirus disease 2019 (COVID-19) cases within critical care medicine. Available data have shown that very severe cases required intensive care, most of which required endotracheal intubation and mechanical ventilation to avoid a lethal outcome if possible. The unprecedented challenges posed by the COVID-19 pandemic necessitate innovative approaches to patient care. AI offers significant potential in enhancing diagnostic accuracy, predicting patient outcomes, and optimizing treatment strategies. By analyzing vast amounts of clinical data, AI can support healthcare professionals in making informed decisions, thus improving patient outcomes. We also focus on current technologies, their implementation in critical care settings, and their impact on patient management during the COVID-19 crisis. Future directions for AI integration in critical care are also discussed.
No takes yet. Share an insight, caveat, or question.
Chervenkov et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: