Description: 

Artificial Intelligence (AI) has many potential benefits when used in the context of providing feedback to medical learners. By harnessing AI, educators can offer more personalized, timely, and data-driven feedback, improving the learning experience for students. 

This workshop-style talk will explore the limits and possibilities of AI in delivering both written and verbal feedback. AI systems can analyze a learner's performance, detect patterns in their strengths and weaknesses, and provide real-time suggestions for improvement, enhancing the learning process. 

Additionally, AI can help standardize feedback, reducing human bias and ensuring consistency across different learners. By delving into these possibilities, the talk will examine how AI can reshape feedback methods in medical education, ultimately fostering more effective learning and continuous professional development.

Learning Objectives: 

By the end of the session, participants will be able to:

1. Explain the potential benefits and challenges of using AI for written and verbal feedback in medical education.
2. Demonstrate how AI can analyze medical learners' performance and offer personalized feedback in a clinical setting.

Presenters:

• Dr. Sarah Boutwell
• Dr. Shazia Samanani