INFO 6320 — Large Language Models in Healthcare: Foundations and Applications
4 semester hoursGraduateLecture
Examines fundamentals and applications of large language models in healthcare. Covers core architectures such as recurrent neural networks and transformers, attention mechanisms, and self-supervised learning techniques. Investigates the role of LLMs in clinical applications including chatbots, question answering systems, sentiment analysis, and retrieval-augmented generation. Highlights the integration of LLMs with medical imaging, healthcare systems, and drug discovery workflows. Emphasizes practical methods for developing, fine-tuning, and evaluating LLM-based solutions using real-world healthcare datasets.