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Article

AI-enhanced integration of genetic and medical imaging data for risk assessment of Type 2 diabetes.

Nature communications - 18 May 2024

Huang Yi-Jia, Chen Chun-Houh, Yang Hsin-Chou

Abstract excerpt

Type 2 diabetes (T2D) presents a formidable global health challenge, highlighted by its escalating prevalence, underscoring the critical need for precision health strategies and early detection initiatives. Leveraging artificial intelligence, particularly eXtreme Gradient Boosting (XGBoost), we devise robust risk assessment models for T2D. Drawing upon comprehensive genetic and medical imaging datasets from...

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Identifiers

PMID: 38762475
DOI: 10.1038/s41467-024-48618-1
PMCID: PMC11102564

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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