Role of artificial intelligence in cardiovascular risk prediction and outcomes: comparison of machine-learning and conventional statistical approaches for the analysis of carotid ultrasound features and intra-plaque neovascularization

Author:

Johri Amer M.,Mantella Laura E.,Jamthikar Ankush D.,Saba Luca,Laird John R.,Suri Jasjit S.ORCID

Publisher

Springer Science and Business Media LLC

Subject

Cardiology and Cardiovascular Medicine,Radiology Nuclear Medicine and imaging

Reference53 articles.

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3. Saba L, Jamthikar A, Gupta D, Khanna NN, Viskovic K, Suri HS, Gupta A, Mavrogeni S, Turk M, Laird JR, Pareek G, Miner M, Sfikakis P, Protogerou A, Kitas GD, Viswanathan V, Nicolaides A, Bhatt D, Suri JS (2019) Global perspective on carotid intima-media thickness and plaque: should the current measurement guidelines be revisited? Int Angiol 38(6):451–465

4. Amato M, Montorsi P, Ravani A, Oldani E, Galli S, Ravagnani PM, Tremoli E, Baldassarre D (2007) Carotid intima-media thickness by B-mode ultrasound as surrogate of coronary atherosclerosis: correlation with quantitative coronary angiography and coronary intravascular ultrasound findings. Eur Heart J 28(17):2094–2101

5. Bots ML (2006) Carotid intima-media thickness as a surrogate marker for cardiovascular disease in intervention studies. Curr Med Res Opin 22(11):2181–2190

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