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Article

Deep learning imaging phenotype can classify metabolic syndrome and is predictive of cardiometabolic disorders.

Journal of translational medicine - 8 May 2024

Leiby Jacob S, Lee Matthew E, Shivakumar Manu, Choe Eun Kyung, Kim Dokyoon

Abstract excerpt

BACKGROUND: Cardiometabolic disorders pose significant health risks globally. Metabolic syndrome, characterized by a cluster of potentially reversible metabolic abnormalities, is a known risk factor for these disorders. Early detection and intervention for individuals with metabolic abnormalities can help mitigate the risk of developing more serious cardiometabolic conditions. This study aimed to develop an...

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Cardiovascular Diseases
Deep Learning
Image Processing, Computer-Assisted
Metabolic Syndrome
Phenotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Tomography, X-Ray Computed

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Identifiers

PMID: 38720370
DOI: 10.1186/s12967-024-05163-1
PMCID: PMC11077781

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