Kenji Harada

Abstract Validation studies of smartphone-based dietary recording applications among older adults remain limited. This study evaluated the validity of nutrient intake estimates derived from the meal-check feature (MCF) of the online Kayoinoba application, a smartphone-based community health promotion application for older adults.

1 Introduction Sarcopenic obesity, defined as the coexistence of sarcopenia and obesity, is characterized by reduced muscle mass and impaired muscle function [1, 2]. Its prevalence is rising with population ageing [3] and has been linked to adverse health outcomes [4], including reduced quality of life [5], higher risk of falls [6] and worsening metabolic disorders [7].

AI artificial intelligence BCSS breast cancer semantic segmentation CAMELYON cancer metastases challenge on lymph nodes CNN convolutional neural network FPN feature pyramid network GPU graphics processing unit GT ground truth H&E hematoxylin and eosin HPA human protein atlas HuBMAP human biomolecular atlas program IoU intersection over union PSPNet pyramid scene parsing network 1 Introduction The advent of artificial intelligence (AI) in healthcare has significantly transformed numerous...