Opportunistic AI-derived adiposity measures from coronary artery calcium scans predict new-onset type 2 diabetes in adults without obesity or hyperglycemia: insights from the AI-CVD study within MESA

AI-derived adiposity measures from CAC scans-especially liver fat-can identify adults without obesity or hyperglycemia at elevated risk for developing T2DM. These findings underscore the potential of AI-enabled opportunistic screening during CAC imaging to support early T2DM risk stratification in individuals not captured by current clinical guidelines.

Authors

Institutions

Publication Details

Journal
Diabetology & Metabolic Syndrome
Published
2025-11-06
DOI
https://doi.org/10.1186/s13098-025-01970-8
Citations
2
Primary Topic
Cardiovascular Disease and Adiposity
Type
article
Field-Weighted Citation Impact
2.78

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Opportunistic AI-derived adiposity measures from coronary artery calcium scans predict new-onset type 2 diabetes in adults without obesity or hyperglycemia: insights from the AI-CVD study within MESA

Prediman K. Shah, Claudia I. Henschke, Andrea D. Branch, Rozemarijn Vliegenthart et al.
2 citations
Diabetology & Metabolic Syndrome
Cardiovascular Disease and Adiposity
2.78
article

Opportunistic AI-derived adiposity measures from coronary artery calcium scans predict new-onset type 2 diabetes in adults without obesity or hyperglycemia: insights from the AI-CVD study within MESA

Prediman K. Shah, Claudia I. Henschke, Andrea D. Branch, Rozemarijn Vliegenthart, Robert A. Kloner, Amir Vahedian‐Azimi, Ali Hashemi, MohammadHossein MozafaryBazargany, Jagat Narula, David J. Maron, Anthony P. Reeves, Michael V. McConnell, Emelia J. Benjamin, Khurram Nasir, Matthew Jay Budoff, Susan K. Fried, Jakob Wasserthal, Nathan D. Wong, Zahi Adel Fayad, Thomas Atlas, Kyle Atlas, Seyed Reza Mirjalili, Morteza Naghavi, Daniel A. Levy, Jeffrey I. Mechanick, David F. Yankelevitz, Kim A. Williams, Chen‐Yu Zhang
article en
2 citations

Abstract

AI-derived adiposity measures from CAC scans-especially liver fat-can identify adults without obesity or hyperglycemia at elevated risk for developing T2DM. These findings underscore the potential of AI-enabled opportunistic screening during CAC imaging to support early T2DM risk stratification in individuals not captured by current clinical guidelines.

Diabetology & Metabolic SyndromeVol. 17(1)
Boston University (US), University of Southern California (US), Cedars-Sinai Medical Center (US), Boston Medical Center (US), Huntington Medical Research Institutes (US), Houston Methodist (US), University Medical Center Groningen (NL), University of Louisville (US), University of California, Irvine (US), Cornell University (US), University Hospital of Basel (CH), Orange County Research Center (US), Hospital Base (CL), Mount Sinai Hospital (US), Angeles Clinic and Research Institute (US), National Heart, Lung, and Blood Institute (US), Methodist Hospital (US), Stanford Medicine (US), The University of Texas Health Science Center (US), Stanford University (US), Icahn School of Medicine at Mount Sinai (US)
National Institutes of Health, National Heart, Lung, and Blood Institute, National Center for Advancing Translational Sciences
Openalex Percentile: Top 8%
Cardiovascular Disease and Adiposity
2.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.