Hannah D Kittrell, Ahmed Shaikh, Peter A Adintori, Paul McCarthy, Roopa Kohli-Seth, Girish N Nadkarni, Ankit Sakhuja
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Role of artificial intelligence in critical care nutrition support and research.
Nutrition plays a key role in the comprehensive care of critically ill patients. Determining optimal nutrition strategy, however, remains a subject of intense debate. Artificial intelligence (AI) applications are becoming increasingly common in medicine, and specifically in critical care, driven by the data-rich environment of intensive care units. In this review, we will examine the evidence regarding the application of AI in critical care nutrition. As of now, the use of AI in critical care nutrition is relatively limited, with its primary emphasis on malnutrition screening and tolerance of enteral nutrition. Despite the current scarcity of evidence, the potential for AI for more personalized nutrition management for critically ill patients is substantial. This stems from the ability of AI to integrate multiple data streams reflecting patients' changing needs while addressing inherent heterogeneity. The application of AI in critical care nutrition holds promise for optimizing patient outcomes through tailored and adaptive nutrition interventions. A successful implementation of AI, however, necessitates a multidisciplinary approach, coupled with careful consideration of challenges related to data management, financial aspects, and patient privacy.
期刊介绍:
NCP is a peer-reviewed, interdisciplinary publication that publishes articles about the scientific basis and clinical application of nutrition and nutrition support. NCP contains comprehensive reviews, clinical research, case observations, and other types of papers written by experts in the field of nutrition and health care practitioners involved in the delivery of specialized nutrition support. This journal is a member of the Committee on Publication Ethics (COPE).