ArticleNature communications2022
Using deep learning to predict abdominal age from liver and pancreas magnetic resonance images.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 39 citations in OpenAlex.
- Liver Aging Index: A Noninvasive Score for Liver Biological Aging and Liver-Related Outcomes in Multicohorts.Aging cell · 2026Article
- Imaging-derived biological age across multiple organs links to mortality and aging-related health outcomes.npj aging · 2026Article
- Lifespan Pancreas Morphology for Control Versus Type 2 Diabetes Using AI on Largescale Clinical Imaging.Clinical anatomy (New York, N.Y.) · 2026Article
- Decoding the hallmarks of GLP-1RA weight-loss super-responders.Biology methods & protocols · 2026Article
- Mammo-AGE: deep learning estimation of breast age from mammograms.Nature communications · 2025Article
- Artificial intelligence-derived photoplethysmography age as a digital biomarker for cardiovascular health.Communications medicine · 2025Article
- Contextualizing molecular and structural aging across human organs.medRxiv : the preprint server for health sciences · 2025Article
- Genomic determinants of biological age estimated by deep learning applied to retinal images.GeroScience · 2025Article
- Deep learning and generative artificial intelligence in aging research and healthy longevity medicine.Aging · 2025Review
- Advanced cardiac imaging, machine learning, and heart age for cardiovascular risk stratification.The international journal of cardiovascular imaging · 2024Article
- PYPE: A pipeline for phenome-wide association and Mendelian randomization in investigator-driven biobank scale analysis.Patterns (New York, N.Y.) · 2024Article
- Older Tissue Age Derived From Abdominal Computed Tomography Biomarkers of Muscle, Fat, and Bone Is Associated With Chronic Conditions and Higher Mortality.Mayo Clinic proceedings · 2024Article
- A biomarker framework for liver aging: the Aging Biomarker Consortium consensus statement.Life medicine · 2024Article
- Brain structure ages-A new biomarker for multi-disease classification.Human brain mapping · 2024Article
- Biomarkers of aging.Science China. Life sciences · 2023Review
- BMI-adjusted adipose tissue volumes exhibit depot-specific and divergent associations with cardiometabolic diseases.Nature communications · 2023Article
- Association between smoking and non-alcoholic fatty liver disease in Southeast Asia.Frontiers in public health · 2022Review
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
With age, the prevalence of diseases such as fatty liver disease, cirrhosis, and type two diabetes increases. Approaches to both predict abdominal age and identify risk factors for accelerated abdominal age may ultimately lead to advances that will delay the onset of these diseases. We build an abdominal age predictor by training convolutional neural networks to predict abdominal age (or "AbdAge") from 45,552 liver magnetic resonance images [MRIs] and 36,784 pancreas MRIs (R-Squared = 73.3 ± 0.6; mean absolute error = 2.94 ± 0.03 years). Attention maps show that the prediction is driven by both liver and pancreas anatomical features, and surrounding organs and tissue. Abdominal aging is a complex trait, partially heritable (h_g
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