AI, Machine Learning, and Deep Learning in Cardiovascular Devices and Cancer Medicine: Innovations in Healthcare, Chatgpt, Cybersecurity, and Aerodynamics
Keywords:
Metadata processing, natural language processing, analytics, learning and cognition, cyber security, gas dynamics, aerodynamics in cardiovascular systems, imaging, analytics, Cancer medicine, Chatgpt, precision medicine, stents and heart valves, artificial pumps and Computational fluid dynamics in cardiovascular systems, security of patients dataAbstract
The infusion of AI, ML, DL, ChatGPT, and cybersecurity with fluid and aerodynamics atone at cardiovascular care and the progressive state of cancer therapy. AI increases tools such as pacemakers, defibrillators, cancer diagnostic systems, whereas ML in heart diseases and cancer improved imaging accuracy. ChatGPT helps in supporting healthcare by providing real-time data analysis, improving organizational efficiency and providing customized care management for cardiovascular and cancer patients. Cybersecurity addresses patient information protection and safety of devices used in the treatment and diagnosis of a range of health complications such as diabetes and heart disease, stents and valves, pumps used in kidney failure and in the administration of cancer-fighting drugs. This paper gauges the roles of these innovations in improving patent care, device efficiency and global health outcomes, providing accurate, timely and long-lasting solutions in cardiovascular and oncologic medicine.
