Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
469-01-003 ISMRM Abstract

Developing Brain Age Models for Predicting Pathological Brain Aging in African Population

Primary: Neuro - Aging
Secondary: Analysis Methods - Classification and Prediction
469-01-003 · MRI in Africa: Advancing Neuroimaging Research, Capacity, and Equity in African Populations · Tuesday, 12 May, 8:20 AM–9:15 AM · Digital Posters Row J
Keywords: Machine Learning/Artificial Intelligence Magnetic resonance imaging Africa Brain-Age Prediction Gaussian Process Regression
Accepted
Tolulope Olusuyi 1, Jasmine Cakmak2, Oumayma Soula3, Raymond Confidence1,2,4, Ayomide Oladele1, Charity Umoren1, Ifeoluwa Oladeji1, Gamaliel Adebayo1, Anu Gbadamosi1, Farouk O Dako1,5, Abbas M Rabiu6, Suwaid Mohammed6, Rachel Akinola7, Anyanwu Benjamin8, Chinedum Anosike9, Jasmit Shah10, Reza Rajabli11, James H Cole12, Chinedu Udeh-Momoh10, Louis Collins11, Fatade Abiodun13, Maruf Adewole1,5, Udunna Anazodo1,2,11
1Medical Artificial Intelligence Laboratory (MAI Lab), Lagos, Nigeria
2Montreal Neurological Institute, Montreal, Canada
3Faculty of Medicine, University of Sfax, Sfax, Tunisia
4Department of Biomedical Engineering, McGill University, Montreal, Canada
5Department of Radiology, University of Pennsylvania, Philadelphia, United States of America
6Bayero University, Kano, Nigeria
7Lagos State University Teaching Hospital (LASUTH), Lagos, Nigeria
8Radiololgy, Regions Healthcare, Owerri, Nigeria
9Accuread Radiology, Nigeria
10Brain and Mind Institute, Aga Khan University, Kenya
11McGill University, Montreal, Canada
12University College London, London, United Kingdom
13Department of Neurology and Neurosurgery, Crestview Radiology Ltd., Lagos, Nigeria
Presenting Author: Tolulope Olusuyi

Synopsis

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References

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Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/469-01-003