Abstract
Critical care nurses are at the forefront of providing specialized care to critically ill patients in the intensive care unit (ICU) [1]. With the advent of artificial intelligence (AI), they have been equipped with powerful tools and technologies that have significantly changed their approach to physical rehabilitation [2]. AI systems offer ICU nurses the ability to analyze and interpret complex patient data, from vital signs and lab results to movement patterns and therapeutic progress. Using this wealth of information, nurses can make informed decisions about the most appropriate timing, intensity, and specific exercises for each patient's rehabilitation journey [3, 4]. This level of precision and individualization allows critical care nurses to create customized rehabilitation plans that address each patient's unique needs, optimizing the potential for successful recovery. In addition, AI-powered rehabilitation systems provide critical care nurses with real-time feedback and guidance during rehabilitation sessions. Through the use of wearable devices and sensors, AI systems monitor patient movement to ensure exercises are performed correctly and safely [5].
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