Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization

Johri, Amer M;Singh, Krishna V;Mantella, Laura E;Saba, Luca;Sharma, Aditya;Laird, John R;Utkarsh, Kumar;Singh, Inder M;Gupta, Suneet;Kalra, Manudeep S;Suri, Jasjit S

2022-01-01

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Abstract

Cardiovascular disease (CVD) is a major healthcare challenge and therefore early risk assessment is vital. Previous assessment techniques use either "conventional CVD risk calculators (CCVRC)" or machine learning (ML) paradigms. These techniques are ad-hoc, unreliable, not fully automated, and have variabilities. We, therefore, introduce AtheroEdge-MCDLAI (AE3.0DL) windows-based platform using multiclass Deep Learning (DL) system.