Digital Health and AI in Healthcare at IIITD by Tavpritesh Sethi

Explore the intersection of digital health and artificial intelligence in healthcare through this informative lecture by Tavpritesh Sethi from IIITD. Delve into the applications of machine learning techniques in biomedicine and health, including predicting patient outcomes, analyzing medical imaging data, and inferring patterns in large-scale health datasets. Gain insights into how modern computational methods can be harnessed to better understand and utilize health-related data across multiple domains. Learn about various machine learning approaches such as logistic regression, tree-based methods, support vector machines, Bayesian methods, and deep networks, with examples of their practical applications in healthcare settings. Discover the potential of AI to bridge the gap between mathematical modeling and clinical problems, and explore the possibilities for building public health databases as valuable resources.