Transforming Cancer Medicine, Cardiovascular Devices, and Healthcare with AI, Machine Learning, and Deep Learning: Pioneering Innovations in Cybersecurity Solutions, Aerodynamics, Chatgpt and Clinical Integration
Keywords:
AI, ML, DL, Cardiovascular devices, individualized medicine, sensitivity, specificity, continuous monitoring, device adaptation, treatment success, modern health care, limitation of AI, Chatgpt, cancer medicine, regulatory and ethics, clinical application of artificial intelligence and precision medicine, risk prediction.Abstract
AI, ML, and DL are at the forefront to improve and advance cardiovascular devices and techniques which in turn has led to better treatment and thus particular and accurate. This paper seeks to address several questions about how AI and ML enhance design, performance, and dependability of cardiovascular apparatus including pumps, stents, valves, and wearable monitoring tools. Also aerobic activity that is boosted by AI and tailored with the blood flow patterns and heart rhythms to improve patient’s health. For example, there is a chatbot – Chatgpt, which gives more accurate and actual information in real-time, makes a decision or explains the given information to patients. Likewise, cybersecurity measures apply effectively to manage risks resulting from AI incorporated into medical instruments. These have been of help to cardiovascular diseases with wearables and remote monitoring systems applying artificial intelligence. However, when embedding AI to cardiovascular healthcare, one is likely to encounter issues such as data privacy and compliance that are likely to act as bottlenecks for the implementation of AI in cardiovascular healthcare in the near future; conversely, this incorporation can revolutionize a cardiovascular healthcare setting by availing an effective and patients oriented procedure in the long run.
