INFO 6310 — Frontiers in Generative AI for Medical Imaging and Healthcare
4 semester hoursGraduateLecture
Explores state-of-the-art generative AI techniques for healthcare applications. Emphasizes medical imaging and biomedical data synthesis. Covers advanced models such as latent diffusion models for conditional synthetic image generation, along with foundational concepts in large language models and natural language processing. Examines diffusion-based methods, including latent-space and conditional diffusion, for generating structured and unstructured medical data. Addresses text-to-image and image-to-text conversions, as well as retrieval-augmented generation for intelligent systems like clinical chatbots. Highlights applications in medical imaging, drug discovery, and clinical decision support.