UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features for Preventive, Personalized and Precision Medicine: A Narrative Review

Cardiovascular disease (CVD) diagnosis and treatment are challenging since symptoms appear late in the disease’s progression. Despite clinical risk scores, cardiac event prediction is inadequate, and many at-risk patients are not adequately categorised by conventional risk factors alone. Integrating...

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Bibliographic Details

Published in:	Reviews in Cardiovascular Medicine
Main Authors:	Luca Saba, Mahesh Maindarkar, Amer M. Johri, Laura Mantella, John R. Laird, Narendra N. Khanna, Kosmas I. Paraskevas, Zoltan Ruzsa, Manudeep K. Kalra, Jose Fernandes E Fernandes, Seemant Chaturvedi, Andrew Nicolaides, Vijay Rathore, Narpinder Singh, Esma R. Isenovic, Vijay Viswanathan, Mostafa M. Fouda, Jasjit S. Suri
Format:	Article
Language:	English
Published:	IMR Press 2024-05-01
Subjects:	cardiovascular disease stroke radiomics genomics artificial intelligence deep learning bias pruning explainable ai
Online Access:	https://www.imrpress.com/journal/RCM/25/5/10.31083/j.rcm2505184