Health Technology/clinical-trials

Qatar Launches 10,000-Patient AI-Powered Cardiometabolic Registry — Insights for Australian Cardiovascular Practice

247 Health News Editorial

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8 Apr 2026

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4 min read

·clinical-trials

Qatar's 10,000-patient cardiometabolic registry employs artificial intelligence to predict cardiovascular outcomes in diabetes patients. This retrospective cohort study may revolutionise risk stratification for complex cardiometabolic patients globally.

Originally reported by ClinicalTrials.gov

References

  1. 1.Weill Cornell Medical College in Qatar. (2024). Qatar Cardiometabolic Retrospective Cohort-Analysis Using Artificial Intelligence. ClinicalTrials.gov. NCT07515807. https://clinicaltrials.gov/study/NCT07515807
  2. 2.Einarson, T. R., Acs, A., Ludwig, C., & Panton, U. H. (2018). Prevalence of cardiovascular disease in type 2 diabetes: a systematic literature review of scientific evidence from across the world in 2007-2017. Cardiovascular Diabetology, 17(1), 83. https://doi.org/10.1186/s12933-018-0728-6
  3. 3.Sulaiman, N., Mahmoud, I., Hussein, A., Elbadawi, S., Abusnana, S., Zimmet, P., & Shaw, J. (2022). Diabetes epidemic in the Arab world. Lancet, 400(10365), 1865-1871. https://doi.org/10.1016/S0140-6736(22)00956-5
  4. 4.Krittanawong, C., Zhang, H., Wang, Z., Aydar, M., & Kitai, T. (2017). Artificial Intelligence in Precision Cardiovascular Medicine. Journal of the American College of Cardiology, 69(21), 2657-2664. https://doi.org/10.1016/j.jacc.2017.03.571
  5. 5.Rawshani, A., Rawshani, A., Franzén, S., Sattar, N., Eliasson, B., Svensson, A. M., Zethelius, B., Miftaraj, M., McGuire, D. K., Rosengren, A., & Gudbjörnsdottir, S. (2018). Risk factors, mortality, and cardiovascular outcomes in patients with type 2 diabetes. New England Journal of Medicine, 379(7), 633-644. https://doi.org/10.1056/NEJMoa1800256
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