Dental Imaging Data for AI and Computer Vision Training
Overview
Dental Imaging Data for AI and Computer Vision Training is a multimodal dataset. Typical applications include medical imaging and clinical NLP. Relevant sectors: Healthcare, Technology & IT, Education and AI & Machine Learning. Pricing is not published and is provided on request.
Primary applications
Bridge Health Syndicate (the provider) provides de-identified dental imaging across every major modality, linked to procedure and diagnosis context, to train and validate dental AI and computer vision models. Images are sourced through read-only connections to a member-governed network of multi-site dental groups and DSOs in the United States. Facial features and identifiers embedded in image files are removed under HIPAA Expert Determination. Who it serves: AI/computer vision developers, diagnostics developers, device and materials manufacturers, and academic researchers. Key use cases: - Caries, bone loss and periapical lesion detection model training - Restoration and implant recognition - Orthodontic and 3D modeling - Model validation and bias testing across sites and imaging devices - Regulatory submission support and post-market surveillance for AI-enabled devices Modalities and data fields (schema notes): bitewings, periapicals, panoramic, CBCT, intraoral photos and 3D scans; patient token; image type; tooth numbers; acquisition year; device class; linked CDT codes and diagnoses. Labels are delivered as CSV/JSON alongside images. Coverage: United States; multi-site dental groups and DSOs; image counts by modality on request. Delivery: Secure cloud bucket (S3); DICOM or PNG/JPEG images plus CSV/JSON labels. Refresh: One-time project datasets or recurring custom deliveries. Pricing: Custom per project. Contact for a quote. Privacy and compliance: All data is de-identified under t
Technical specifications
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