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Micro-Credential: Promoting Critical Thinking
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Micro-Credential: Facilitating Small Group Learning
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Micro-Credential: Promoting an Inclusive and Humanistic Learning Environment
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Micro-Credential:Developing a Teaching Philosophy
Micro-Credential: Technology Integration in Didactic Teaching
Micro-Credential: Technology Integration in Didactic Teaching
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Annual Session Program Fund
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Wordly AI Translation & Captions
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New Technologies

NT-013-R - Bridging Innovation and Care: AI's Role in Advancing Dental Access

Sunday, March 22, 2026
10:30 AM - 11:30 AM EDT
Location: Room 515 A-C, Fifth Floor, Palais
CE: 1
Micro-Credential: Technology Integration in Didactic Teaching Annual Session Program Fund Wordly Session Captions
Keyword: Artificial Intelligence (NT)
SoTLFest Designation: No
LIAA Designation: No
In this seminar, Dr. Karen North, an expert in digital and social media and psychology, will demonstrate how artificial intelligence (AI) actively connects students, providers and patients with access to knowledge, resources and services. Participants will explore AI’s transformative impact on research, including personalized learning, simulations and accelerated knowledge discovery and learn how AI enhances practice through improved diagnostics, treatment planning and patient engagement. Participants will discover how AI uniquely bridges innovation with chairside application and grasp crucial ethical considerations. Risks related to excessive enthusiasm and trust of AI, AI's limitations and the potential of AI to revolutionize academic dentistry will also be discussed.

Learning Objectives:

  • Articulate how contemporary AI platforms interlink students, providers and patients with knowledge, resources and services and describe the resulting shifts in educational delivery, research design and clinical workflows.
  • Explore specific AI-driven tools that can enhance chairside decision-making, patient engagement and personalized learning within their own academic or clinical setting.
  • Explore the limitations and pitfalls of naively overtrusting AI, especially when faced with unique or nuanced challenges.