In recent years, artificial intelligence has been transforming healthcare tremendously as an assistive technology in diverse settings and application domains, from early detection, diagnosis, and prognosis of diseases to providing real-time patient care, disease progression, and readmissions in medical interventions. They analyze medical images and pathology reports faster than radiologists, surpass human capabilities, use predictive analytics and patient monitoring, and provide personalized medicine and complex disease diagnosis. They are providing tailored treatments with precision medicine and optimizing therapeutic outcomes. AI-driven drug discovery and clinical trials are widely applied in fields such as neurology and oncology, providing clinical decision support for improved and informed decision-making. AI-assisted surgery is non-invasive and improves precision and recovery time. Chatbots and virtual assistants assist in mental health and behavior analysis. IoT wearable sensors and remote monitoring systems aid in timely care. Preventive medicine aims to identify health risks and enhance data sharing and security in healthcare with blockchain and federated learning, improving operational efficiency, quality, and accessibility globally. Multimodal AI-based technologies integrate and process high dimensional complex heterogeneous data from diverse modalities, streams E.H.R., medical images, lab reports, and wearable sensor devices, and improve decision-making by building comprehensive and holistic pictures by blending computer vision and natural language processing domains.
The session will focus on:-
- Artificial Intelligence and Machine learning for
- Telemedicine
- Remote monitoring with Wearable technology an IoMT