Journal of Dental Medicine

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Madadizadeh F, Bahariniya S. Letter to Editor: artificial intelligence in dental science: Machine learning perspective. J Dent Med-tums 2026; 39 : 23
URL: http://jdm.tums.ac.ir/article-1-6440-en.html

Artificial intelligence as one of the transformative technologies of the present era, plays an increasing role in medical sciences, especially dentistry. Among the various branches of artificial intelligence, machine learning with its ability to analyze complex data, extract patterns, and provide accurate predictions, has provided a suitable platform for the development of smart dentistry. Modern dentistry faces challenges such as interpreting a large volume of radiographic images, early detection of lesions, selecting an appropriate treatment plan, and managing patient information. Challenges that can be largely resolved use machine learning algorithms. Today, deep learning models and artificial neural networks have found widespread use in analyzing dental images, diagnosing caries, predicting the success of restorative and implant treatments, designing prostheses, and supporting clinical decision-making. In addition, the integration of machine learning with technologies such as robotics, digital design, and intelligent patient monitoring systems has paved the way for precise and personalized dentistry. Despite the significant benefits of this technology, challenges such as data quality dependency, ethical issues, and the need for clinical validation has remained. Overall, machine learning has the potential to revolutionize the future of dentistry by increasing diagnostic accuracy, reducing human error, saving time and money, and improving the quality of service.