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Volume 14, Issue 2 (8-2025)
2025, 14(2): 1-6 |
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Hoseini Shirazi M, Farahbod F, Alsharbaty M H. Emerging Applications of Artificial Intelligence in Modern Dentistry: Advancements, Challenges, and Future Directions. Journal title 2025; 14 (2) :1-6
URL: http://3dj.gums.ac.ir/article-1-649-en.html
URL: http://3dj.gums.ac.ir/article-1-649-en.html
1- School of Dentistry, University of Copenhagen, Copenhagen, Denmark , moein.hshirazi@gmail.com
2- School of Dentistry, University of Copenhagen, Copenhagen, Denmark
3- College of Dentistry, University of Al-Ameed, Karbala, Iraq
2- School of Dentistry, University of Copenhagen, Copenhagen, Denmark
3- College of Dentistry, University of Al-Ameed, Karbala, Iraq
Abstract: (298 Views)
The integration of artificial intelligence (AI) into modern dentistry is a transformative advancement with significant implications. Emerging in the mid-20th century, AI has evolved through the development of neural networks that mimic the structure of the human brain. A key subset, deep learning, has revolutionized diagnostics and therapies across various medical disciplines by enabling autonomous data processing. In dentistry, AI's widespread adoption is driven by technological progress and digitization, leading to improvements in dental diagnostics. Computer-generated second opinions enhance the accuracy and efficiency of diagnoses, particularly in dental radiology, where neural networks expedite the process. Beyond radiology, neural networks are utilized in various specialties, such as restorative dentistry for caries detection and restoration selection, endodontics for periapical lesion detection and treatment prediction, orthodontics for diagnosis and treatment planning, and dental surgery for complication prediction. Additionally, AI contributes to periodontal evaluation and prediction based on psychological factors. Despite its advantages, the integration of AI in dentistry requires further research to ensure seamless adoption and reduce the risk of errors. Combining AI with traditional methods is recommended to minimize discrepancies in outcomes, and collaboration between clinicians, researchers, and engineers is essential for the successful development and implementation of AI, ultimately advancing dental practice while prioritizing patient care.
Type of Study: Review article |
Subject:
General
Received: 2025/07/22 | Accepted: 2025/08/1 | Published: 2025/08/1
Received: 2025/07/22 | Accepted: 2025/08/1 | Published: 2025/08/1
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Owned by Guilan University of Medical Sciences.
Co-published by Zamen Salamati.
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