AI-Enhanced Teaching: Fostering Reflection in Health Education
Reflective session on integrating AI into course/assessment design, student preparation, and lessons learned.
Reflective session on integrating AI into course/assessment design, student preparation, and lessons learned.
Reasoning capabilities of generative AI tools in clinical ophthalmology.
Interactive workshop on practical AI tools for literature review, data analysis, and writing, emphasizing ethical use and academic integrity.
Python-based tool to quantify retinal vessel tortuosity from fundus autofluorescence/retinal images, designed for reproducible research workflows.
Case-based learning wrap-up session using medical AI papers; key takeaways and closing discussion.
Lecture on applied AI in genomic medicine for the AI in Medicine Course (AIMSS, 2022).
Premier lecture for the Introduction to Medicine & Medical Data stream of the AI in Medicine Course (AIMSS, 2021).