Generative Artificial Intelligence in Healthcare
Academic Noncredit

This course is designed to delve into the rapidly evolving intersection of generative AI (genAI) and healthcare and offers an overview of genAI as applied to healthcare, beginning with fundamental concepts in AI and machine learning. Students will engage in hands-on sessions with genAI tools and datasets, learning to evaluate AI model performance and assess real-world implementation and impact. Key modules focus on genAI’s applications in clinical decision support, offering insights into predictive modeling for diagnosis and therapy, integration into clinical workflows, personalized medicine, exploring genAI in drug repurposing, and personal genomic data analysis. The course includes practical projects, final project, guest lectures from industry and academic experts, and case studies.

This noncredit class meets with a regular University of Utah credit course.

Online book and material fees may be added up until the first week of class. Students may opt out during the first two weeks of class. For more information, visit the Campus Store Inclusive Access Program's webpage. If you opt out, you will be responsible for obtaining the course materials yourself for the course.