Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{182380, author = {Kinshuk Mittal and Mrs. Sumika Jain and Dr. Varun Bansal}, title = {Heart Disease AI in Healthcare}, journal = {International Journal of Innovative Research in Technology}, year = {2025}, volume = {12}, number = {2}, pages = {2063-2066}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=182380}, abstract = {A central interest of academia, business, and international governmental agencies is to create and implement artificial intelligence and other state-of-the-art analytical instruments to revolutionize the delivery of health care. However, there are several challenges, and few artificial intelligence applications have proven effective enough to gain widespread use in cardiovascular and stroke care. This scientific statement describes the state of the art regarding the application of artificial intelligence algorithms and data science to the diagnosis, classification, and management of cardiovascular disease. It also aims to propel this mission, with an eye toward how digital technologies and, specifically, artificial intelligence can deliver clinical and mechanistic insights, resolve bias in clinical trials, and stroke outcomes. Finally, an important goal of this scientific statement is to advance the field by clarifying best practices, gaps, and challenges for interested parties.}, keywords = {}, month = {July}, }
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