1. define key concepts in artificial intelligence (AI), including machine learning, natural language processing, and ethical principles related to AI in medical education 2. describe the potential applications and limitations of AI tools in medical education, including ways AI can enhance learning, assessment, and administrative processes 3. demonstrate how to use basic AI tools and platforms to create interactive and adaptive learning activities tailored to medical education 4. assess the ethical challenges of using AI in medical education, such as data privacy, bias, and transparency, by examining real-world case studies and examples 5. develop an action plan to integrate AI tools into an existing curriculum, incorporating best practices for ethical use, practical application, and alignment with learning objectives
- Provider:Geisinger College of Health Sciences
- Activity Link: https://cce.geisinger.edu/node/23151
- Start Date: 2025-03-27 05:00:00
- End Date: 2025-03-27 05:00:00
- Credit Details: AAPA Category 1 Credit™️: 5.5 hours
AMA PRA Category 1 Credit™️: 5.5 hours
Nursing: 5.5 hours
Pharmacy: 5.5 hours - Commercial Support: No
- Activity Type: Live Course
- CME Finder Type: Conference
- Fee to Participate: No, it's free
- Measured Outcome: Learner Knowledge, Learner/Team Competence, Learner/Team Performance
- Provider Ship: Directly Provided
- Registration: Open to all