Artificial intelligence for body composition assessment focusing on sarcopenia

Artificial intelligence for body composition assessment focusing on sarcopenia

Abstract This study aimed to address the limitations of conventional methods for measuring skeletal muscle mass for sarcopenia diagnosis by introducing an artificial intelligence (AI) system for direct computed tomography (CT) analysis. The primary focus was on enhancing simplicity, reproducibility,...

Full description

Saved in:
Bibliographic Details
Main Authors: Sachiyo Onishi, Takamichi Kuwahara, Masahiro Tajika, Tsutomu Tanaka, Keisaku Yamada, Masahito Shimizu, Yasumasa Niwa, Rui Yamaguchi
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Skeletal muscle mass
Artificial intelligence (AI)
Sarcopenia diagnosis
Body composition assessment
Online Access:https://doi.org/10.1038/s41598-024-83401-8
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-024-83401-8

Similar Items