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 artificial intelligence in near future is health care. Improved health care efficiency in diagnosis, treatment and prognosis would be the end result. There is great potential of artificial intelligence in future directions in cardiovascular imaging. Genotype is a great influence on disease risk. Identification 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 fidelity and integration difficulties stalk the traditional statistical approaches in this field. High resolution whole organ models and genome wide approaches finally 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 benefit. Data analysis with predictive potential would enhance patient safety and preventive medicine and cardiovascular disease that causes the greatest mortality would be the greatest beneficiary