▪️ Introduction:
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AI is increasingly being used in healthcare and dental education must prepare students to use it responsibly.
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AI should support clinician decision-making, not replace it. Algorithms must be unbiased and clinically validated.
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Dental curriculum must teach critical thinking skills and ethical application of AI, including limitations and potential biases.
▪️ Considerations when adopting AI:
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AI is a tool, not a replacement for clinician knowledge and expertise.
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AI algorithms must account for patient factors like race, gender, culture to avoid unintended consequences.
- Academic integrity issues must be addressed regarding proper use and citation of AI.
▪️ Proposed curriculum model:
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Introduce AI incrementally throughout program with multidisciplinary perspectives.
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Preclinical: Explore datasets, research opportunities, interest groups.
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Clinical: Case studies on ethics, legal issues, principles for selection of AI tools.
▪️ Guidance from organizations:
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ADEA should provide resources and develop guidelines for AI curriculum.
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Collaboration between ADEA and ADA is important.
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Continuing education on AI should be required.
▪️ Conclusion:
AI is a rapidly advancing reality across health care. While it offers the promise of a higher quality of care and easy accessibility to information, dental education has a responsibility to be proactive and visionary in integrating AI safely and ethically for the benefit of both students and patients and future providers.
▪️ ▪️ Content summarized from:
Artificial intelligence (A.I.) in dental curricula: Ethics and responsible integration
https://onlinelibrary.wiley.com/doi/10.1002/jdd.13337
