U.S., July 26 -- ClinicalTrials.gov registry received information related to the study (NCT07086625) titled 'AI-Based Radiographic Detection of Periodontal Defects' on July 11.
Brief Summary: The primary objective of the study is to develop and validate a machine learning model for the automatic identification of periodontal vertical bone defects, improving diagnostic accuracy and efficiency.
The study comprises three phases:
1. Public dataset annotation: Approximately 7,000 intraoral radiographs will be manually annotated by experts to classify periodontal bone defects (1-wall, 2+ walls, craters, furcation involvement).
2. Model training: A deep learning algorithm will be trained on the annotated images to learn automatic recognition o...