Deep convolutional neural networks to predict cardiovascular risk from computed tomography

Coronary artery calcium is an accurate predictor of cardiovascular events. While it is visible on all computed tomography (CT) scans of the chest, this information is not routinely quantified as it requires expertise, time, and specialized equipment. Here, we show a robust and time-efficient deep le...

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Bibliographic Details
Published in:	Nature communications Vol. 12; no. 1; pp. 715 - 9
Main Authors:	Zeleznik, Roman, Foldyna, Borek, Eslami, Parastou, Weiss, Jakob, Alexander, Ivanov, Taron, Jana, Parmar, Chintan, Alvi, Raza M., Banerji, Dahlia, Uno, Mio, Kikuchi, Yasuka, Karady, Julia, Zhang, Lili, Scholtz, Jan-Erik, Mayrhofer, Thomas, Lyass, Asya, Mahoney, Taylor F., Massaro, Joseph M., Vasan, Ramachandran S., Douglas, Pamela S., Hoffmann, Udo, Lu, Michael T., Aerts, Hugo J. W. L.
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 29.01.2021 Nature Publishing Group Nature Portfolio
Subjects:	631/114/1305 639/705/117 692/308/409 692/4019/2776 692/499 Aged Arteriosclerosis Artificial neural networks Asymptomatic Diseases Automation Biomarkers Calcification (ectopic) Calcium Calcium - analysis Cardiovascular diseases Cardiovascular Diseases - complications Cardiovascular Diseases - diagnosis Cardiovascular Diseases - epidemiology Cardiovascular Diseases - pathology Chest Chest Pain - diagnosis Chest Pain - etiology Computed tomography Coronary artery Coronary vessels Coronary Vessels - diagnostic imaging Coronary Vessels - pathology Deep Learning Female Follow-Up Studies Health risks Heart Disease Risk Factors Humanities and Social Sciences Humans Image Processing, Computer-Assisted - methods Male Middle Aged multidisciplinary Neural networks Reproducibility of Results Retrospective Studies Risk analysis Risk Assessment - methods Risk factors Robustness Science Science (multidisciplinary) Tomography Tomography, X-Ray Computed
ISSN:	2041-1723, 2041-1723
Online Access:	Get full text
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