AIMC Topic: Nutritional Support
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A Novel Machine-Learning Algorithm to Predict the Early Termination of Nutrition Support Team Follow-Up in Hospitalized Adults: A Retrospective Cohort Study.
Nutrients
Jul 31, 2024
BACKGROUND: For hospitalized adults, it is important to initiate the early reintroduction of oral food in accordance with nutrition support team guidelines. The aim of this study was to develop and validate a machine learning-based algorithm that pre...
Role of artificial intelligence in critical care nutrition support and research.
Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition
Jul 28, 2024
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 medic...
Towards personalized nutritional treatment for malnutrition using machine learning-based screening tools.
Clinical nutrition (Edinburgh, Scotland)
Aug 25, 2021
Early identification of patients at risk of malnutrition or who are malnourished is crucial in order to start a timely and adequate nutritional therapy. Yet, despite the presence of many nutrition screening tools for use in the hospital setting, ther...
Artificial intelligence assisted nutritional risk evaluation model for critically ill patients: Integration of explainable machine learning in intensive care nutrition.
Asia Pacific journal of clinical nutrition
Jun 1, 2025
BACKGROUND AND OBJECTIVES: Critically ill patients require individualized nutrition support, with assessment tools like Nutrition Risk Screening 2002 and Nutrition Risk in the Critically Ill scores. Challenges in continu-ous nutrition care prompt the...
Personalized Nutrition Strategies for Patients in the Intensive Care Unit: A Narrative Review on the Future of Critical Care Nutrition.
Nutrients
May 13, 2025
Critically ill patients in intensive care units (ICUs) are at high risk of malnutrition, which can result in muscle atrophy, polyneuropathy, increased mortality, or prolonged hospitalizations with complications and higher costs during the recovery p...
Enhanced recovery programme in robotic hysterectomy.
British journal of nursing (Mark Allen Publishing)
May 13, 2025
The standard care for endometrial cancer includes total hysterectomy, bilateral salpingo-oophorectomy, peritoneal washings with or without bilateral pelvic and/or paraaortic lymph node dissection/sampling with or without omental biopsy or omentectomy...
National Implementation of an Artificial Intelligence-Based Virtual Dietitian for Patients With Cancer.
JCO clinical cancer informatics
Jun 1, 2024
PURPOSE: Nutritional status is an established driver of cancer outcomes, but there is an insufficient workforce of registered dietitians to meet patient needs for nutritional counseling. Artificial intelligence (AI) and machine learning (ML) afford t...
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