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From Pixels to Prognosis: Radiomics and AI Applications in Maxillofacial Radiology
 
  • P-ISSN 2277-3525 E-ISSN 2582-7901

Journal of Multidisciplinary
Dental Research

Article

Journal of Multidisciplinary Dental Research

DOI: 10.38138/JMDR/v11i2.25.25

Volume: 11, Issue: 2, Pages: 69–75

Review Article

From Pixels to Prognosis: Radiomics and AI Applications in Maxillofacial Radiology

Ali Rasat1, Selmi Tunç2,∗

1Specialist Dentist, Departmant of Oral and Maxillofacial Radiology, Faculty of Dentistry, Akdeniz University, 07058, Antalya, Turkey
2Associate Professor, Departmant of Oral and Maxillofacial Radiology, Faculty of Dentistry, Akdeniz University, 07058, Antalya, Turkey

*Corresponding Author
Email: selmiyard@gmail.com

Received Date:12 May 2025, Accepted Date:12 August 2025, Published Date:04 December 2025

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Recently, the beneficial impacts of digitalization in healthcare have facilitated the advancement of innovative methodologies in diagnosis and treatment planning through the integration of medical data with artificial intelligence algorithms. Radiomics, a pioneering field, underlies image-based decision support systems, which use statistics and artificial intelligence to extract quantitative data from medical pictures. Quality and accuracy are required throughout the radiomics workflow, including image acquisition, model construction, and clinical application. Due to the complexity of maxillofacial anatomy, radiomics and artificial intelligence using cross-sectional three-dimensional imaging techniques like CT and CBCT have gained popularity in dentistry. Clinical models must meet accuracy, repeatability, and generalizability standards. Future research expects radiomics to improve dentistry diagnosis, treatment planning, and disease prognosis.

Keywords: Artificial intelligence, Dentistry, Maxillofacial radiology, Radiomics

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