Category 1
These courses offer a foundational understanding of AI in dentistry, covering concepts, applications, and ethics, with a focus on enhancing compassionate patient care.
Category 2
The next category provides insights on enhancing visibility and competitiveness in the evolving dental landscape while leveraging AI to build trust and adapt to market changes.
Category 1
Fundamentals of Effective Prompt Engineering: Unlocking AI’s Potential in Healthcare
Length: 2 hours
Instructor: Dr. Peter Fritz
Course Description:
This high-impact workshop equips dental specialists with the essential skill of prompt engineering to optimize AI applications in clinical, administrative, and educational contexts. Attendees will learn how to structure AI prompts effectively to enhance clinical documentation, streamline diagnostic workflows, and improve practice management while safeguarding patient privacy and compliance with regulatory standards (HIPAA/PIPEDA). Additionally, the course will cover the use of AI to develop exam questions and educational materials for professional development and training.
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Learning Objective:
Upon completion of this course, participants will be able to:
- Apply structured prompt engineering to enhance AI accuracy by crafting effective prompts that improve AI-driven clinical documentation, administrative workflows, and diagnostic decision-making.
- Safeguard patient privacy in AI interactions by developing strategies to ensure compliance with HIPAA/PIPEDA, minimizing the risks of inadvertent data sharing in clinical and administrative settings.
- Leverage AI for educational and training purposes by utilizing AI-generated prompts to create exam questions, case-based learning modules, and personalized educational content for professional development.
Category 2
Strategic Integration of Artificial Intelligence in Dentistry: Navigating Digital Transformation, Regulation, and Educational Innovation.
Course Description:
The seminar will address three essential pillars:
- AI Foundations for Dental Education: Introduction to key AI technologies (machine learning, computer vision, large language models) and their specific applications in teaching, learning, and clinical training.
- Regulatory and Ethical Considerations: Practical frameworks for responsible AI adoption in Canadian academic settings, including data governance, privacy protection, and institutional policy alignment.
- Strategic Implementation Approaches: Practical faculty development and curriculum integration strategies that balance innovation with educational quality and patient care standards.
Length: 90 minutes
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Learning Objective:
By the end of this session, participants will be able to:
- Evaluate 3-5 specific AI applications for dental education and articulate their potential impact on teaching methodologies and clinical competencies.
- Apply a structured ethical decision framework when considering AI tools for academic use, addressing key regulatory requirements and institutional considerations.
- Identify initial steps for faculty AI literacy development and curriculum enhancement at the University of Alberta, setting the stage for continued growth in AI integration.