Vol. 4 No. 1 (2024): Journal of Machine Learning in Pharmaceutical Research
Articles

Integrating AI and ML in Dental Education: Challenges and Opportunities

Dr. Priya Sharma
Assistant Professor, Medical AI, Himalaya College, Kathmandu, Nepal
Cover

Published 16-04-2024

Keywords

  • AI,
  • Machine Learning,
  • Dental Education,
  • Challenges

How to Cite

[1]
Dr. Priya Sharma, “Integrating AI and ML in Dental Education: Challenges and Opportunities”, Journal of Machine Learning in Pharmaceutical Research, vol. 4, no. 1, pp. 20–28, Apr. 2024, Accessed: Sep. 17, 2024. [Online]. Available: https://pharmapub.org/index.php/jmlpr/article/view/4

Abstract

This study explores the integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies into dental education, examining the challenges and opportunities it presents. AI and ML offer innovative solutions to enhance teaching methodologies, improve learning outcomes, and streamline administrative tasks in dental education. However, the implementation of these technologies is not without hurdles, including ethical considerations, infrastructure requirements, and the need for faculty training. Despite these challenges, the potential benefits are vast, including personalized learning experiences, enhanced diagnostic capabilities, and improved patient care. By addressing these challenges proactively, dental educators can leverage AI and ML to revolutionize dental education, preparing students for the future of dentistry.

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