AIMC Topic: Nutritional Status
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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...
NLP for computational insights into nutritional impacts on colorectal cancer care.
SLAS technology
Jun 1, 2025
Colorectal cancer (CRC) is one of the most prominent cancers globally, with its incidence rising among younger adults due to improved screening practices. However, existing algorithms for CRC prediction are frequently trained on datasets that primari...
Boosting Immunity Through Nutrition and Gut Health: A Narrative Review on Managing Allergies and Multimorbidity.
Nutrients
May 15, 2025
The increasing global burden of allergic diseases and multimorbidity underscores the urgent need for innovative strategies to strengthen immune health. This review explores the complex relationships among nutrition, gut microbiota, immune regulation,...
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...
Advancing Nutritional Status Classification With Hybrid Artificial Intelligence: A Novel Methodological Approach.
Brain and behavior
May 1, 2025
PURPOSE: Malnutrition remains a critical public health issue in low-income countries, significantly hindering economic development and contributing to over 50% of infant deaths. Under nutrition weakens immune systems, increasing susceptibility to com...
Role of artificial intelligence in predicting disease-related malnutrition - A narrative review.
Nutricion hospitalaria
Apr 21, 2025
Background: disease-related malnutrition (DRM) affects 30-50 % of hospitalized patients and is often underdiagnosed, increasing risks of complications and healthcare costs. Traditional DRM detection has relied on manual methods that lack accuracy and...
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...
Importance of Serum Albumin in Deep Learning-Based Prediction of Cognitive Function Data in the Aged Using a Basic Blood Test.
Advances in experimental medicine and biology
Jan 1, 2024
BACKGROUND: Recently, a method using deep learning has been developed to estimate the risk of developing dementia. This method uses general blood test data from routine health examinations that reveal lifestyle-related diseases, which can lead to vas...
Natural language processing: fast forwarding research to the "good stuff": Natural language processing for nutrition.
The American journal of clinical nutrition
Mar 1, 2023
[Application and prospect of digital technology on personalized precision nutrition].
Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]
Dec 6, 2022
Nowadays in China, digital technology is sweeping all walks of life. To deal with the increasing incidence of chronic diseases and people's pursuit of a healthy life expectancy, modern nutrition, which is a core element in the prevention and treatmen...
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