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,...
Saved in:
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: | |
Online Access: | https://doi.org/10.1038/s41598-024-83401-8 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Clinical risk factors for sarcopenia in acute and chronic pancreatitis
by: Mitchell L. Ramsey, et al.
Published: (2025-02-01) -
Sarcopenia as a Prognostic Factor of Hepatotoxicity and Lower Survival Rate in Chemotherapy of Pancreatic Cancer
by: A. A. Klunichenko, et al.
Published: (2020-07-01) -
Sarcopenia as a Predictor of Mortality in a Cohort of Elderly Patients Undergoing Endoscopic Retrograde Cholangiopancreatography
by: Giacomo Mulinacci, et al.
Published: (2024-12-01) -
Low skeletal muscle mass as a proxy marker of sarcopenia is a risk factor for major complications in older patients undergoing curative colon resections for colon cancer
by: İsmail Tırnova, et al.
Published: (2025-01-01) -
Ageing leads to selective type II myofibre deterioration and denervation independent of reinnervative capacity in human skeletal muscle
by: Oscar Horwath, et al.
Published: (2025-02-01)