Role of Artificial Intelligence in Critical Care Medicine: A Technological Aspect

In contemporary society, life has become increasingly dependent on Artificial Intelligence (AI), which has emerged as a transformative force, particularly in healthcare as well as critical care medicine. By integrating advanced medical technologies to enhance precision, efficiency, and patient outcomes. This review explores the technological underpinnings of AI applications in critical care, focusing on innovations such as real-time and predictive analytics, online monitoring systems, and automated decision-support tools. Data collection and analysis are increasingly deployed to process multimodal information streams— ranging from electronic health records and patient connected devices to imaging modalities—enabling early detection of specific complications, hemodynamic instability, and organ failures. At the same time, it’s possible to generate some treatment actions in case of need.

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Published
2025-09-26
DOI
https://doi.org/10.52340/9789941519109.20
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Role of Artificial Intelligence in Critical Care Medicine: A Technological Aspect

Andro Atoshvili
Artificial Intelligence in Healthcare and Education
article

Role of Artificial Intelligence in Critical Care Medicine: A Technological Aspect

Andro Atoshvili
article en

Abstract

In contemporary society, life has become increasingly dependent on Artificial Intelligence (AI), which has emerged as a transformative force, particularly in healthcare as well as critical care medicine. By integrating advanced medical technologies to enhance precision, efficiency, and patient outcomes. This review explores the technological underpinnings of AI applications in critical care, focusing on innovations such as real-time and predictive analytics, online monitoring systems, and automated decision-support tools. Data collection and analysis are increasingly deployed to process multimodal information streams— ranging from electronic health records and patient connected devices to imaging modalities—enabling early detection of specific complications, hemodynamic instability, and organ failures. At the same time, it’s possible to generate some treatment actions in case of need.

Tbilisi State Medical University (GE)
Openalex Percentile: Top 81%
Artificial Intelligence in Healthcare and Education
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