AI in Education: Custom GPTs, Literature Review, and Curriculum Tools
Needs Statement
Faculty in clinical, research, and educational roles often face challenges in integrating artificial intelligence (AI) into workflows because of limited foundational knowledge, ethical concerns, and insufficient exposure to practical tools that enhance efficiency and innovation. This series aims to bridge the gap between theoretical knowledge and real-world clinical practice, promote the use of research tools such as literature review automation and data analytics, and advance the application of AI-driven educational methods synergistically with the Learning Health System. By focusing on practical applications, ethical challenges, and future innovations, the series seeks to break down barriers to the implementation of AI and to foster innovation and collaboration.
Target Audience
Physicians and other healthcare providers.
Learning Objectives
- Discuss the concept of precision education.
- Create interactive curricular materials with artificial intelligence (AI) tools.
- Use AI to accelerate literature reviews.
Baylor College of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
Baylor College of Medicine designates this enduring material activity for a maximum of 1.0 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Available Credit
- 1.00 AMA PRA Category 1 Credit™
- 1.00 Participation
Price
Thank you for reviewing this Baylor College of Medicine on-demand activity. In order to complete the evaluation and claim credit for your participation, please select the appropriate payment option above. After payment has been completed, you will receive an email confirmation and receipt.
For any questions, contact [email protected].