Subjects
Sponsors
Faculty of Dentistry, Chulalongkorn University, Chulalongkorn University
Conditions
1. What is the sensitivity and specificity of the Oral X-ray Imaging Assisted Diagnosis Software in detecting different stages of caries?
2. How does the AI system'To evaluate and compare the performance of AI algorithms in detecting dental pathologies and
anomalies across different types of dental radiographs (including panoramic, bitewing, periapical, and CBCT) as well as dental photographsTo review and evaluate machine learning techniques applicable to dental radiograph analysis, and to develop a machine learning model for assessing the difficulty of impacted tooth surgery using panoramic radiographs.
Dentomaxillofacial Radiology, Impacted Lower Third molar, Machine Learning, Deep Learning, State-of-the-art (SOTA)
Unknown Phase
Validation of Oral Panoramic X-Ray Imaging Assisted Diagnosis Software
Active, not recruitingTCTR20241218005
Start: 2025-02-01Target: 400Updated: 2026-08-03
Development of Artificial Intelligence-Automated Interpretation of Dental Radiographs and Photographs
RecruitingTCTR20250724005
Start: 2026-04-01Target: 6000Updated: 2026-08-03
Evaluation of Surgical Difficulty for Impacted Mandibular Third Molars Using a Machine Learning Model on Panoramic Radiographs
Active, not recruitingTCTR20250922004
Start: 2025-09-30Target: 1600Updated: 2026-08-03