AI-Driven Early Detection of Cardiovascular Diseases: Reducing Healthcare Costs and improving patient Outcomes

Ahmed, Ahasan, Khaled, Albatoul, Waqar, Muhammad, Hashmi, DrJavaid Akhtar, Alfanash, Hazem AbdulKareem, Almagharbeh, Wesam Taher, Hamdache, Amine, Elmouki, Ilias

arXiv.org Artificial Intelligence 

These were five major works and twelve other works and thus included diverse views of integrating AI in cardiovascular treatment. Synthesis of Results The data obtained was then combined to provide an integrated view on the effect of early detection by AI in the context of CVDs on health care costs and patients. The synthesis was to compare the mostly used diagnosing techniques with the newer AI techniques; the merits and demerits of integration of AI . Ethical Considerations Each of the studies considered within this systematic review complied with ethical procedures applicable for investigation involving human participants. Issues of privacy and security were also discussed particularly where patients' data were involved.