The future of artificial intelligence in clinical nutrition

P Singer, E Robinson, O Raphaeli - Current Opinion in Clinical …, 2024 - journals.lww.com
The future of artificial intelligence in clinical nutrition : Current Opinion in Clinical Nutrition &
Metabolic Care The future of artificial intelligence in clinical nutrition : Current Opinion in …

[HTML][HTML] Artificial Intelligence in Malnutrition: A systematic literature review

SMW Janssen, Y Bouzembrak, B Tekinerdogan - Advances in Nutrition, 2024 - Elsevier
Malnutrition among the population of the world is a frequent yet underdiagnosed problem in
both children and adults. Development of malnutrition screening and diagnostic tools for …

Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system

L Liou, E Scott, P Parchure, Y Ouyang, N Egorova… - npj Digital …, 2024 - nature.com
Malnutrition is a frequently underdiagnosed condition leading to increased morbidity,
mortality, and healthcare costs. The Mount Sinai Health System (MSHS) deployed a …

Predicting malnutrition from longitudinal patient trajectories with deep learning

BT Jin, MH Choi, MF Moyer, DA Kim - PloS one, 2022 - journals.plos.org
Malnutrition is common, morbid, and often correctable, but subject to missed and delayed
diagnosis. Better screening and prediction could improve clinical, functional, and economic …

Risk of malnutrition assessment in hospitalised adults: A scoping review of existing instruments

M Chrástecká, V Blanař… - Journal of Clinical Nursing, 2023 - Wiley Online Library
Aims and objectives The aim of this study was to find tools for screening the risk of
malnutrition in adult hospitalised patients, evaluate their key characteristics including …

Development and evaluation of a deep learning framework for the diagnosis of malnutrition using a 3D facial points cloud: A cross‐sectional study

X Wang, Y Liu, Z Rong, W Wang, M Han… - Journal of Parenteral …, 2024 - Wiley Online Library
Background The feasibility of diagnosing malnutrition using facial features has been
validated. A tool to integrate all facial features associated with malnutrition for disease …

Implications of artificial intelligence for nurse managers

A Ross, R Freeman, K McGrow, O Kagan - Nursing Management, 2024 - journals.lww.com
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Validity of nutrition screening tools for risk of malnutrition among hospitalized adult patients: A systematic review and meta-analysis

R Cortés-Aguilar, N Malih, M Abbate, S Fresneda… - Clinical Nutrition, 2024 - Elsevier
Abstract Backgrounds & Aims Malnutrition is prevalent among hospitalized patients in
developed countries, contributing to negative health outcomes and increased healthcare …

Malnutrition risk assessment using a machine learning‐based screening tool: A multicentre retrospective cohort

P Parchure, M Besculides, S Zhan… - Journal of Human …, 2024 - Wiley Online Library
Background Malnutrition is associated with increased morbidity, mortality, and healthcare
costs. Early detection is important for timely intervention. This paper assesses the ability of a …

[PDF][PDF] 人工智能在老年营养领域的研究进展

庞姝, 孙豪浓, 陈祥雪, 姜春燕, 李虹伟 - 实用老年医学, 2024 - sylnyx.com
营养不良不仅严重影响老年人的身体健康和生活质量, 还会增加死亡率以及医疗保健相关费用.
因此, 早期识别和干预老年营养不良非常重要. 近年来, 人工智能(artificial intelligence, AI) …