Examining the Intersection of Artificial Intelligence and Biosensors in Healthcare: Complex Neurodegenerative Issues

This paper delves into the transformative capability of artificial intelligence (AI) and biosensor technologies in revolutionizing healthcare, with a selected attention on dealing with complex neurodegenerative sicknesses. In recent years, the healthcare industry has witnessed a significant inflow of records from wearable sensors, medical imaging, and health records, necessitating advanced analytical methods. Leveraging AI, we advocate a framework that integrates biosensor facts to enhance diagnostic accuracy, screen ailment development in actual time, and tailor treatments to person affected person needs. Our evaluation covers the trendy advancements in device mastering algorithms for medical imaging, precision medicinal drug, and the mixing of Internet of Things (IoT) biosensors. The dialogue extends to the challenges of records-driven AI, consisting of privateness worries and the reliability of biosensor gadgets, while also exploring future possibilities in part computing and federated mastering. This paper highlights the critical position of AIpushed biosensor technology in personalizing healthcare and enhancing effects for sufferers with neurodegenerative conditions.