Innovations in Cardiovascular Devices: The Role of AI, Chatgpt, Machine Learning, Deep Learning, Healthcare, Cybersecurity, Cancer medicine and Aerodynamics

Abstract

AI, ML, DL, and fluid dynamics promise dramatic improvements in the cardiovascular devices performance and quality of diagnosing, treating, and mitigating cardiovascular diseases and conditions. Like in cases of pacemakers, ventricular assist devices, artificial heart valves, AI and ML make real time data monitoring and analytics for better blood flow. It may improve patient awareness, can be used as an adjunct to patient care, and optimize researchers’ interactions. Lessons learned from cancer medication are also being applied to the management of cardiovascular disease: dealing with the cancer treatment side effects and integrating care. These technologies result into creating smarter devices, tackling of complications and enhanced patient practices. Optoelectronic properties are improved by updated materials, combined devices, and interlinked specialists and scientists. However, these innovations also come with cliegibosurve features like patient data security, cybersecurity and legal issues. In totality, AI, ML, DL, aerodynamics, Chatgpt and cancer medicine enhance customized, effective and inexpensive heart disorder treatments with improved long-term cure rates and patient satisfaction.