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. 2022 Nov;86(11):1545-1551.
doi: 10.1002/jdd.13010. Epub 2022 Jul 3.

Adopting artificial intelligence in dental education: A model for academic leadership and innovation

Nadim M Islam  1 , Lory Laughter  2 , Ramtin Sadid-Zadeh  3 , Carlos Smith  4 , Teresa A Dolan  5 , Geralyn Crain  6 , Cristiane H Squarize  7
Affiliations
Free article

Adopting artificial intelligence in dental education: A model for academic leadership and innovation

Nadim M Islam et al. J Dent Educ. 2022 Nov.
Free article

Abstract

Introduction: The continual evolution of dental education, dental practice and the delivery of optimal oral health care is rooted in the practice of leadership. This paper explores opportunities and challenges facing dental education with a specific focus on incorporating the use of artificial intelligence (AI).

Methods: Using the model in Bolman and Deal's Reframing Organizations, the Four Frames model serves as a road map for building infrastructure within dental schools for the adoption of AI.

Conclusion: AI can complement and boost human tasks and have a far-reaching impact in academia and health care. Its adoption could enhance educational experiences and the delivery of care, and support current functions and future innovation. The framework suggested in this paper, while specific to AI, could be adapted and applied to a myriad of innovations and new organizational ideals and goals within institutions of dental education.

Keywords: database; health information technology; information management/computer applications; information technology; learning management systems; management system.

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References

REFERENCES

    1. Turning AM. Computing machinery and intelligence. Mind 1950;49:433-460. Accessed March 31, 2022. https://www.csee.umbc.edu/courses/471/papers/turing.pdf
    1. Feigenbaum EA. Expert systems in the 1980s. Accessed March 31, 2022. https://stacks.stanford.edu/file/druid:vf069sz9374/vf069sz9374.pdf
    1. openaccessgovernment. DARPA: 60 years of ground-breaking Artificial Intelligence research. Accessed April 7, 2022. https://www.openaccessgovernment.org/darpa-60-years-of-ground-breaking-a...
    1. Horie Y, Yoshio T, Aoyama K, et al. Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks. Gastrointest Endosc. 2019;89(1):25-32.
    1. Lee JH, Ha EJ, Kim JH. Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT. Eur Radiol. 2019;29(10):5452-7