The Dawn of AI in Medical Education скачать в хорошем качестве

The Dawn of AI in Medical Education

In this webinar, we discuss the use of large language models (LLMs) to automate medical student OSCE note grading. Learning Objectives: Describe the time and cost implications of traditional OSCE note grading and how LLMs can streamline the process. Compare the grading accuracy of an LLM-based system with traditional human grading methods by analyzing performance data from real-world OSCE note evaluations. Outline the key components of an LLM-powered OSCE grading pipeline, including student note input, rubric integration, and automated scoring output, and discuss potential limitations and areas for improvement. Identify opportunities to integrate LLMs into their own educational and clinical workflows by examining the OSCE grading project as a model for innovation in emergency medicine education.