Imaging Data That AI Can Trust
Imaging Data That AI Can Trust
Real-World DICOM Imaging Data for Medical AI
OTS Data provides AI-ready DICOM medical imaging datasets designed for real-world healthcare applications. These datasets help AI and ML teams build, train, and validate reliable models for diagnosis, triage, and clinical decision support. All imaging data is carefully de-identified while preserving critical clinical context.
Dataset Snapshot
Total studies: 10M+
Primary geographies: USA, Brazil, India
Imaging modalities: CR, CT, US, DX, MR, MG, OT, RF, NM, Mammography
Anatomical coverage: Chest, Abdomen, Head, Spine, Neck, Heart, and more
PROVEN FEATURES
PROVEN FEATURES
Use Cases for DICOM Image Datasets
LLM Model Services power a wide range of AI applications, including:
Conversational AI & Virtual Assistants
Train LLMs to deliver accurate, context-aware conversations.
Clinical & Healthcare NLP
Enable LLMs to understand and process complex medical text.
Intelligent Customer Support Automation
Improve response quality and intent detection using fine-tuned LLMs.
Knowledge Search & Document Understanding
Power semantic search, summarization, and intelligent Q&A.
Compliance
Compliance
Security & Compliance
Accurate Data
Accurate Data
Why Choose Us?
Clinically Accurate, Real-World Data
Our lab reports come from trusted clinical sources and reflect real diagnostic workflows, not synthetic or scraped data.
Custom-Built for Your Use Case
Filter by test type, disease area, demographics, format, or annotation level so the data fits your model, not the other way around.
Privacy-First by Design
Every dataset is fully de-identified and compliant with HIPAA, GDPR, and regional healthcare regulations.
Human-in-the-Loop Quality Control
Clinical and data experts review, validate, and normalize reports to ensure consistency and model-ready reliability.
Frequently Asked Questions
Frequently Asked Questions