Image Analysis in Dentistry through Data Science Open Systems and Sharing
Bringing together clinicians, data scientists and engineers to:
Validate and test quantitative imaging markers of bone structure
Assess treatment effects and quantify bone degradation or repair
Share open-source software and train users in dentistry
Our secure Data Management infrastructure maintains web based platforms and databases for data cleansing, extraction, annotation, processing, and tasks management. The Data Storage for Computation and Integration (DSCI) web portal ensures data quality and governance including security, confidentiality and privacy of the new National Institute of Health (NIH) for Data Sharing.
We work to integrate and share imaging quantitative methodology in Dentistry, supporting patient-specific decision making and assessment of the disease progression via Data processing, descriptive and predictive modeling, using machine learning approaches. We are currently developing algorithms that extend the capabilities of the 3DSlicer open-source technologies.
News and Upcoming Events
Link to videocast with updates on NIDCR strategies on Data Science in Dentistry 231st Meeting of the National Advisory Dental and Craniofacial Research Council, September 2022.
Dr. Cevidanes has served in the American Dental Association Clinical Evaluators (ACE) Panel Report on Intraoral Appliances to be published in December 2022. Check recent ACE reports on Geriatric Patients, Oral-Systemic Health and Intraoral scanners.
Our team led by Dr. Juan Prieto at UNC, supervising Mathieu Leclercq placed second in the recent MICCAI Challenge in July 2022 presented at MICCAI Sep 18, 2022.
Congrats Team for the great work!!