2 credits
Spring 2026 Distance Learning Upper Division
The course comprehensively covers key topics such as the mechanisms behind how AI functions, the capabilities and limitations of current technologies, and important considerations around data privacy, bias, and health equity. Ethical issues are also explored through analyses of real-world case studies. The course equips participants with a solid foundation to thoughtfully engage with, evaluate, and contribute to the ongoing integration of AI into clinical practice and beyond.
Learning Outcomes1Identify various applications and settings where AI is being utilized in healthcare today and where it will migrate to in the future.
2Describe the technical underpinnings of how AI tools are built and function.
3Analyze the clinical and social impacts of AI for patient care including how patients are using these tools as well as various ethical and regulatory issues.
4Synthesize a solution to clinical cases using AI tools to improve your skills in the healthcare industry.
Restrictions
made by Purdue students.