Investigation of a chest radiograph-based deep learning model to identify an imaging biomarker for malnutrition in older adults

Investigation of a chest radiograph-based deep learning model to identify an imaging biomarker for malnutrition in older adults

Summary: Background & Aims: In recent years, artificial intelligence (AI) models based on chest radiography have gained attention in various fields, including cardiac function, age estimation, and clinical assessment during hospitalization. The Global Leadership Initiative on Malnutrition (...

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Bibliographic Details
Main Authors: Ryo Sasaki, Yasuhiko Nakao, Fumihiro Mawatari, Takahito Nishihara, Masafumi Haraguchi, Masanori Fukushima, Ryu Sasaki, Satoshi Miuma, Hisamitsu Miyaaki, Kazuhiko Nakao
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Clinical Nutrition Open Science
Subjects:
Nutritional support team
AI
Older patients
Deep learning
Chest radiograph
Online Access:http://www.sciencedirect.com/science/article/pii/S2667268524001050
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