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Abdul Rahman Ihdayhid on Muck Rack

Abdul Rahman Ihdayhid

As seen in: Nature, heart, MDPI, Medical Journal of Australia (MJA), Canadian Journal of Cardiology, The Medical Republic, Cardiology Today, Heart, Lung and Circulation
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Articles

Inherited risk of coronary artery disease: redefining care with imaging and genetics - Nature Reviews Cardiology

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By Girish Dwivedi, Graham S. Hillis, Derek P. Chew, Bu B Yeap, Gemma A. Figtree, Amit V. Khera, Gerald Watts, Abdul Rahman Ihdayhid
| Nature Verified
Abstract Atherosclerotic cardiovascular disease remains a leading cause of morbidity and mortality globally, despite advances in preventative medicine. An individual’s family history of premature coronary artery disease (CAD) captures the complex interplay among shared genetic, environmental and lifestyle factors within families and is a well-established, independent risk factor for CAD.
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Beyond Clinical Factors: Harnessing Artificial Intelligence and Multimodal Cardiac Imaging to Predict Atrial Fibrillation Recurrence Post-Catheter Ablation

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By Yiheng Lyu, Abdul Rahman Ihdayhid, Girish Dwivedi, Edward T. Truong
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Ethical challenges and opportunities in applying artificial intelligence to cardiovascular medicine

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By Abdul Rahman Ihdayhid, Girish Dwivedi, Riti Chetty
| Canadian Journal of Cardiology Verified
Abstract Much anticipation surrounds artificial intelligence’s (AI) emergence as a promising tool in healthcare. It offers potential to revolutionise clinical practice through assistive and autonomous operation. The high prevalence of cardiac disease globally provides an opportunity for AI technology to increase healthcare efficiency and improve patient outcomes.
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