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Abstract

Analyzing and interpreting the massive volumes of data generated by intensive care units (ICUs) can be very laborious and time consuming. By increasing clinical decision-making, decreasing errors, and improving patient outcomes, artificial intelligence (AI) holds the potential to completely transform intensive care unit (ICU) care. One may wonder how AI can change critical care by making it possible to predict clinical deterioration and death in real time, assisting clinicians in making decisions regarding continuous patient monitoring and advanced therapies, that would enhance patient outcomes.
This editorial is aimed to analyze the existing literature on AI applications in ICU care, encompassing clinical decision support systems, predictive analytics, and machine learning techniques. We intend to create more awareness about the AI potential to greatly improve ICU care by improving patient monitoring, detecting clinical deterioration and assisting with clinical decision making.
Abbreviations: AI: Artificial intelligence, CDS: clinical decision support, HER: electronic health records, ICU: intensive care unit, NLP: natural language processing,
Keywords: Artificial intelligence; Clinical decision support; Critical care medicine; Intensive care unit; Machine learning
Citation: Naseer A, Kiran Q. Artificial intelligence – new horizons in intensive care. Anaesth. pain intensive care 2025;29(5):254-256. DOI: 10.35975/apic.v29i5.2848
Received: February 13, 2025; Revised: February 15, 2025; Accepted: February 25, 2025