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Accuracy of an Artificial Intelligence–Based Model for Estimating Leftover Liquid Food in Hospitals: Validation Study

Accuracy of an Artificial Intelligence–Based Model for Estimating Leftover Liquid Food in Hospitals: Validation Study

Malnourished hospitalized patients are at a higher risk of complications, such as pressure ulcers, infections [3], and frailty [4]. These are the risk factors of disability associated with daily living activities, and they can result in death [5,6]. In current superaged societies, malnutrition poses an increased risk. Therefore, an accurate evaluation of the nutritional status of hospitalized patients is crucial for the prevention of malnutrition among such patients [7].

Masato Tagi, Mari Tajiri, Yasuhiro Hamada, Yoshifumi Wakata, Xiao Shan, Kazumi Ozaki, Masanori Kubota, Sosuke Amano, Hiroshi Sakaue, Yoshiko Suzuki, Jun Hirose

JMIR Form Res 2022;6(5):e35991