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AI in Temporomandibular Joint Imaging.
Ibrahim Sevki Bayrakdar1, Alican Kuran2, Ozer Celik3
1Department of Dentomaxillofacial Radiology, Eskisehir Osmangazi University, Eskisehir, Türkiye; Center of Research and Application for Computer-Aided Diagnosis and Treatment in Health (ESOGU-SABIT), Eskisehir Osmangazi University.
Artificial intelligence (AI) enhances dentomaxillofacial radiology by aiding clinicians and radiologists in interpreting complex temporomandibular joint images. AI tools offer significant diagnostic and treatment planning benefits across various imaging modalities.
Area of Science:
- Dentomaxillofacial Radiology
- Medical Imaging Analysis
- Artificial Intelligence in Medicine
Background:
- The temporomandibular joint (TMJ) presents complex anatomical challenges in dentomaxillofacial radiology.
- Advanced imaging techniques are frequently required for accurate TMJ diagnosis and treatment planning.
- Artificial intelligence (AI) is emerging as a transformative technology in medical workflows.
Purpose of the Study:
- To provide an overview of AI tool development for TMJ interpretation in dentomaxillofacial radiology.
- To discuss the outcomes and advantages of AI in analyzing TMJ imaging.
- To examine the diagnostic and treatment planning benefits offered by AI in this field.
Main Methods:
- Review of current research and development in AI tools for TMJ analysis.
- Evaluation of AI performance across different imaging modalities (e.g., CBCT, MRI).
- Analysis of AI's impact on diagnostic accuracy and treatment planning efficiency.
Main Results:
- AI tools show promise in assisting with the interpretation of complex TMJ anatomy.
- AI demonstrates advantages in analyzing various imaging modalities used for TMJ assessment.
- Studies indicate AI's potential to improve diagnostic capabilities and streamline treatment planning.
Conclusions:
- AI represents a significant advancement in dentomaxillofacial radiology, particularly for TMJ evaluation.
- AI tools offer substantial benefits for clinicians and radiologists in diagnosis and treatment planning.
- Continued development and integration of AI are expected to further enhance TMJ care.
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