Ukrainian Dental Clinical Cases Dataset — 10,000+ Adult & Pediatric Records
Overview
Ukrainian Dental Clinical Cases Dataset — 10,000+ Adult & Pediatric Records is a multimodal dataset. It covers Ukrainian. Typical applications include machine translation, medical imaging and clinical NLP. Relevant sectors: Healthcare, Education and AI & Machine Learning. The listing mentions classification labels and clinical coding. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Listing mentions classification labels, clinical coding.
Comprehensive dental clinical dataset sourced from a licensed Ukrainian dental clinic with full-spectrum capabilities: surgical, prosthetic, endodontic, restorative, and pediatric departments. Each case includes structured diagnosis, clinical findings, detailed treatment protocols, materials used, medications prescribed, possible complications, follow-up recommendations, and radiographic findings where applicable. DATASET HIGHLIGHTS: • Volume: 10,000+ clinical cases (adult and pediatric combined) • Format: Structured JSON and CSV, ML-ready • Language: Bilingual — original Ukrainian + English translation • Coding: ICD-10 diagnostic codes included • Deidentified: All patient data fully anonymized • Quality: Real clinical records from practicing dentists SPECIALTIES COVERED: • Restorative dentistry (composite restorations, post-orthodontic treatment) • Endodontics (root canal treatment, retreatment, broken instrument management) • Prosthodontics (ceramic crowns, veneers, bridges) • Implantology (Megagen AnyOne system, zirconia prosthetics, bone grafting) • Pediatric dentistry (deciduous teeth: caries, pulpitis, pulpotomy, extraction) • Oral surgery (extractions, connective tissue grafts) DATA FIELDS PER CASE: • Unique case ID • Patient category (adult/pediatric) • Specialty classification • Diagnosis (Ukrainian + English + ICD-10) • Chief complaint • Clinical examination findings • Treatment details per visit • Materials and medications • Radiographic findings • Possible complic
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