Advancements in AI, Machine Learning, and Deep Learning for Cardiovascular Devices: Exploring Healthcare, Chatgpt, Cybersecurity, and Aerodynamics Innovations

Abstract

Imagination and innovation of contemporary cardiology have been highlighted through the use of AI, ML and DL in the enhancement of modern cardiovascular devices to improve the efficiency of treatment. This review focuses on increasing adoption and advancement of AI and ML technologies in improvement of the design, performance, and usability of cardiovascular devices including pumps, stents, valves, and wearable monitors. AI-supported aerodynamics brings considerations regarding blood flow dynamics, while cybersecurity countermeasures respond to safety issues concerning the devices interfaced with AI. Also, Chatgpt is a valuable tool in assisting healthcare providers with therapeutic, emergent illumination, and enhancing the manner in which the patient is addressed. Smart wearable devices and remote monitoring are extensively used for early diagnosis and non-pharmacological treatment of diseases with the help of AI and for preventing further cardiovascular events. However, the barriers of privacy and regulation, AI holds a potential  future in cardiovascular devices and in the health sector as a whole in the sense of efficiency, reduction of costs, and above all patient-oriented treatment.