Supported by National Institute of Dental and Craniofacial Research R01DE024450; content does not represent official views of the National Institutes of Health.
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Image Analysis in Dentistry through Data Science Open Systems and Sharing
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
News and Upcoming Events
The latest beta versions of the Slicer Automated Dental Tools are now available for download as extensions within 3D Slicer.
Upcoming:
44th NA-MIC Project Week will be held January 26 – January 30, 2026, in Las Palmas, Gran Canaria.
104th IADR/AADOCR/CADR General Session: March 25 – March 28, 2026 | San Diego, CA.
AAO Annual Session 2026: May 1 – May 3, 2026 | Orlando, FL.
Stay informed on the latest NIDCR strategies on Data Science in Dentistry. Following the 2021-2026 Strategic Plan updates, a new videocast highlights the 2025 milestones in AI-driven diagnostics and the implementation of the "Data-Driven Science Hub" (DDS Hub).
The NIH Data Management & Sharing (DMS) Policy is now the standard for all funded research. As of January 2026, updated guidance is available regarding the protection of human participant data and the use of FAIR-compliant repositories. Visit our resources page to ensure your DMSP meets the latest federal requirements.
Explore our full range of tutorials on YouTube and access our open-source imaging pipeline projects on GitHub
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