Artificial intelligence and body composition

P Santhanam, T Nath, C Peng, H Bai, H Zhang… - Diabetes & Metabolic …, 2023 - Elsevier
Aims Although obesity is associated with chronic disease, a large section of the population
with high BMI does not have an increased risk of metabolic disease. Increased visceral …

Making the invisible visible: imaging techniques for assessing muscle mass and muscle quality in chronic kidney disease

A Sabatino, KH Sola, TB Brismar… - Clinical kidney …, 2024 - academic.oup.com
Muscle wasting and low muscle mass are prominent features of protein energy wasting
(PEW), sarcopenia and sarcopenic obesity in patients with chronic kidney disease (CKD). In …

Artificial intelligence for body composition and sarcopenia evaluation on computed tomography: a systematic review and meta-analysis

S Bedrikovetski, W Seow, HM Kroon, L Traeger… - European journal of …, 2022 - Elsevier
Purpose Tracing muscle groups manually on CT to calculate body composition parameters
and diagnose sarcopenia is costly and time consuming. Artificial Intelligence (AI) provides …

Association between insulin resistance and myosteatosis measured by abdominal computed tomography

MJ Kim, YK Cho, HN Jung, EH Kim… - The Journal of …, 2023 - academic.oup.com
Context Ectopic fat deposition in skeletal muscle, termed myosteatosis, is a key factor in
develo** insulin resistance. Objective This work aimed to evaluate the association …

Artificial intelligence‐based analysis of body composition predicts outcome in patients receiving long‐term mechanical circulatory support

IA Just, F Schoenrath, L Roehrich, E Heil… - Journal of Cachexia …, 2024 - Wiley Online Library
Background Obesity is a known cardiovascular risk factor and associated with higher
postoperative complication rates in patients undergoing cardiac surgery. In heart failure …

A comparative study of two automated solutions for cross‐sectional skeletal muscle measurement from abdominal computed tomography images

K Charrière, Q Boulouard, S Artemova… - Medical …, 2023 - Wiley Online Library
Background Measurement of cross‐sectional muscle area (CSMA) at the mid third lumbar
vertebra (L3) level from computed tomography (CT) images is becoming one of the …

The Value of Artificial Intelligence‐Assisted Imaging in Identifying Diagnostic Markers of Sarcopenia in Patients with Cancer

YT Huang, YS Tsai, PC Lin, YM Yeh, YT Hsu… - Disease …, 2022 - Wiley Online Library
Sarcopenia is defined as the loss of skeletal muscle mass and muscle function. It is common
in patients with malignancies and often associated with adverse clinical outcomes. The …

Deep learning-based fully automated segmentation of regional muscle volume and spatial intermuscular fat using CT

R Zhang, A He, W **a, Y Su, J Jian, Y Liu, Z Guo… - Academic …, 2023 - Elsevier
Abstract Rationale and Objectives We aim to develop a CT-based deep learning (DL)
system for fully automatic segmentation of regional muscle volume and measurement of the …

Computed tomography-based multiple body composition parameters predict outcomes in Crohn's disease

Z Zhou, Z **ong, Q **e, P **ao, Q Zhang, J Gu, J Li… - Insights Into …, 2021 - Springer
Background The efficacy of computed tomography-based multiple body composition
parameters in assessing disease behavior and prognosis has not been comprehensively …

Association between metabolic dysfunction‐associated steatotic liver disease and myosteatosis measured by computed tomography

MJ Kim, YK Cho, EH Kim, MJ Lee… - Journal of Cachexia …, 2024 - Wiley Online Library
Background In 2023, the concept of metabolic dysfunction‐associated steatotic liver disease
(MASLD) was introduced as an alternative to non‐alcoholic fatty liver disease (NAFLD). We …