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Mehmet Aydar

Showing results (1-10 of 9) with videos related to

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Cardiology in the Young|April 18, 2017
Pokémon Go: digital health interventions to reduce cardiovascular riskChayakrit Krittanawong, Mehmet Aydar, Takeshi Kitai
JACC. Heart Failure|November 5, 2016
Sitagliptin and Risk of Heart Failure in Patients With Type 2 Diabetes: A Meta-AnalysisChayakrit Krittanawong, Takeshi Kitai, Mehmet Aydar, et al.
Journal of the American College of Cardiology|May 27, 2017
Artificial Intelligence in Precision Cardiovascular MedicineChayakrit Krittanawong, HongJu Zhang, Zhen Wang, et al.
International Journal of Cardiology|October 28, 2017
Crowdfunding for cardiovascular researchChayakrit Krittanawong, HongJu Janet Zhang, Mehmet Aydar, et al.
Journal of the American College of Cardiology|April 22, 2017
Deep Learning With Unsupervised Feature in Echocardiographic ImagingChayakrit Krittanawong, Anusith Tunhasiriwet, HongJu Zhang, et al.
Nature Reviews. Cardiology|October 13, 2019
Integrating blockchain technology with artificial intelligence for cardiovascular medicineChayakrit Krittanawong, Albert J Rogers, Mehmet Aydar, et al.
Scientific Reports|April 27, 2021
Machine learning and deep learning to predict mortality in patients with spontaneous coronary artery dissectionChayakrit Krittanawong, Hafeez Ul Hassan Virk, Anirudh Kumar, et al.
The Canadian Journal of Cardiology|December 2, 2021
Artificial Intelligence-Powered Blockchains for Cardiovascular MedicineChayakrit Krittanawong, Mehmet Aydar, Hafeez Ul Hassan Virk, et al.
European Heart Journal|March 1, 2019
Deep learning for cardiovascular medicine: a practical primerChayakrit Krittanawong, Kipp W Johnson, Robert S Rosenson, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Cardiology in the Young|April 18, 2017
Pokémon Go: digital health interventions to reduce cardiovascular riskChayakrit Krittanawong, Mehmet Aydar, Takeshi Kitai
JACC. Heart Failure|November 5, 2016
Sitagliptin and Risk of Heart Failure in Patients With Type 2 Diabetes: A Meta-AnalysisChayakrit Krittanawong, Takeshi Kitai, Mehmet Aydar, et al.
Journal of the American College of Cardiology|May 27, 2017
Artificial Intelligence in Precision Cardiovascular MedicineChayakrit Krittanawong, HongJu Zhang, Zhen Wang, et al.
International Journal of Cardiology|October 28, 2017
Crowdfunding for cardiovascular researchChayakrit Krittanawong, HongJu Janet Zhang, Mehmet Aydar, et al.
Journal of the American College of Cardiology|April 22, 2017
Deep Learning With Unsupervised Feature in Echocardiographic ImagingChayakrit Krittanawong, Anusith Tunhasiriwet, HongJu Zhang, et al.
Nature Reviews. Cardiology|October 13, 2019
Integrating blockchain technology with artificial intelligence for cardiovascular medicineChayakrit Krittanawong, Albert J Rogers, Mehmet Aydar, et al.
Scientific Reports|April 27, 2021
Machine learning and deep learning to predict mortality in patients with spontaneous coronary artery dissectionChayakrit Krittanawong, Hafeez Ul Hassan Virk, Anirudh Kumar, et al.
The Canadian Journal of Cardiology|December 2, 2021
Artificial Intelligence-Powered Blockchains for Cardiovascular MedicineChayakrit Krittanawong, Mehmet Aydar, Hafeez Ul Hassan Virk, et al.
European Heart Journal|March 1, 2019
Deep learning for cardiovascular medicine: a practical primerChayakrit Krittanawong, Kipp W Johnson, Robert S Rosenson, et al.
Pageof 1