Ready to use datasets
Ready to use datasets

Production-Ready Healthcare Datasets for Reliable AI Models

Healthcare AI demands accuracy, consistency, and trust.
OTS Data provides production-ready healthcare datasets designed to support medical AI use cases such as diagnostics, clinical decision support, and research.

Our datasets are carefully collected, annotated, and structured to help healthcare and life sciences teams train models that perform reliably in real-world environments.

Healthcare Services
Healthcare Services

What We Offer for Healthcare AI

DICOM Image Dataset
Few lines to well describe your content supporting headline.
EHR Dataset
Few lines to well describe your content supporting headline.
Lab Report Dataset
Few lines to well describe your content supporting headline.
Compliance
Compliance

Security & Compliance

HIPPA
ISO 9001 : 2015
SOC 2 Type ll
ISO 27001
GDPR
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

Frequently Asked Questions

Yes. All datasets are fully anonymized and privacy-compliant before delivery.
Absolutely. We tailor datasets based on test categories, conditions, age groups, or data formats.
Yes. We offer labeling for abnormal values, entities, clinical concepts, and NLP tasks.
Datasets can include region-specific or multi-geography data, depending on availability and compliance needs.
Yes, subject to licensing terms agreed during engagement.