CURRENT TRENDS AND FUTURE OF ARTIFICIAL INTELLIGENCE IN CARDIOVASCULAR RESEARCH AND IMAGING

Abstract

The domain of science that would witness the greatest exponential contribution of articial intelligence in near future is health care. Improved health care efciency in diagnosis, treatment and prognosis would be the end result. There is great potential of articial intelligence in future directions in cardiovascular imaging. Genotype is a great inuence on disease risk. Identication and characterization of genetic variants is one domain where AI shows great promise. Variant interpretation is one of the key challenges in genetic sequencing. Heterogeneity, low delity and integration difculties stalk the traditional statistical approaches in this eld. High resolution whole organ models and genome wide approaches nally unravel tackling points in interaction of environment with genes, making cardiovascular disease prevention or even auto engineered organs an ultimate reality. Improved access to health and well-being empowers both patients and the physician with reliable access and assistance that intelligently supports clinical decision-making would be the greatest benet. Data analysis with predictive potential would enhance patient safety and preventive medicine and cardiovascular disease that causes the greatest mortality would be the greatest beneciary

CURRENT TRENDS AND FUTURE OF ARTIFICIAL INTELLIGENCE IN CARDIOVASCULAR RESEARCH AND IMAGING - Current Issue - IJSR (worldwidejournals.com)