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Fredrik Wolfhagen‐Sand

ORCID: 0009-0007-7148-4144
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About
Contact & Profiles
A5095694474
Research Areas
  • Retinal Imaging and Analysis
  • Artificial Intelligence in Healthcare
  • Retinal and Optic Conditions

AstraZeneca (United Kingdom)
 2024

 Prediction of cardiovascular risk factors from retinal fundus photographs: Validation of a deep learning algorithm in a prospective non‐interventional study in Kenya
OPENALEX - Publications 
Tom White Viknesh Selvarajah Fredrik Wolfhagen‐Sand Nils Svangård Gayathri Mohankumar and 15 more Peter Fenici Kathryn Rough Nelson Owuor Onyango Kendall Lyons Christina Mack Videlis Nduba Mansoor N. Saleh Innocent Abayo Afrah Siddiqui Malgorzata Majdanska‐Strzalka Katarzyna Kaszubska Tove Hegelund-Myrbäck Russell Esterline Antonio Manzur Victoria Parker

Hypertension and diabetes mellitus (DM) are major causes of morbidity mortality, with growing burdens in low-income countries where they underdiagnosed undertreated. Advances machine learning may provide opportunities to enhance diagnostics settings limited medical infrastructure.

10.1111/dom.15587 article EN cc-by-nc-nd Diabetes Obesity and Metabolism 2024-04-15
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