Abstract

ARTIFICIAL INTELLIGENCE APPLICATIONS IN THE MANAGEMENT OF CARDIOVASCULAR DISEASE: A COMPREHENSIVE REVIEW

*Shaik Beebi Ayesha, Agnimandala Vasundhara, Ankusarao Sathyadhiraja,
Vyshnavi Biradavolu and Padmalatha Kantamaneni

ABSTRACT

As CVDs remain a major global health threat, revolutionary solutions that focus on prevention, early detection, and management are necessary to lessen the growing strain on public health. AI's role in cardiovascular medicine will increase considerably in the future as, along with medical science's advances, diagnosing as well as taking care of CVDs are still quite difficult because customary ways have many constraints; this review looks at all of AI's effects on the diagnosis, ECG examination. Also, it spotlights research revealing how AI can help make management and risk assessment better. AI automates image acquisition and function assessment in Echo. AI offers several advantages to CT imaging by automatically scoring calcium and finding plaque. AI could make cardiovascular care more efficient and streamlined, but its results are similar to those from standard methods. With several computational algorithms, Artificial Intelligence (AI) offers large potential in this area to improve diagnosis, predict outcomes, as well as tailor treatment along withindividualized treatment plans; AI could help overcome limitations in risk prediction in addition to diagnosis through wide-ranging analysis of large, complex datasets, therefore thoroughly improving clinical decision-making. The continuously growing data and ever-improving AI technologies will allow for more personalized care that is quite efficient and effective. The healthcare industry can save lives by fully harnessing the power of AI in order to improve risk prediction and increase diagnostic accuracy. Clinics that use AI need to handle validation obstacles, moral concerns, and regulatory issues to make sure patients are safe.

Keywords: Artificial Intelligence, Cardiovascular diseases, Diagnosis, Treatment, Risk prediction, Applications, Challenges.