Healthcare AI

High-quality, compliant AI data and services designed for the healthcare sector, enabling smarter care, more robust diagnostics and better patient outcomes. Video, image, audio and text datasets for every medical AI solution, from computer vision to analytics and research.

Experts in healthcare

Supporting the medical industry to deploy AI solutions across patient care, diagnostics and workflow automation.

Compliance built in

HIPAA, GDPR, ISO 27001 & ISO 27701 certified, designed for one of the most regulated industries in the world.

Global scale, local precision

Datasets spanning 500+ languages and locales and 120+ markets to support multilingual, multicultural patient and provider environments.

Clincal-grade data

Rigorous data validation, bias mitigation and quality controls ensure datasets meet the highest standards for accuracy, safety and real-world performance.

Trusted by:

Defined.ai's Healthcare AI Solutions

Healthcare innovation demands data that is accurate, secure, compliant and scalable. Defined.ai provides data and services you can trust.

The Defined.ai Data Marketplace

AI-ready, domain-specific audio and speech, text, imaging and multimodal datasets designed for clinical-grade AI applications: virtual health assistants, diagnostic models, patient interaction systems and more.

Bespoke Data Collection

White glove AI data collection workflows across all data types through our proprietary crowd platform, Neevo, to source the high-quality, ethically sourced data you need to fine-tune your exact healthcare AI system use case.

Custom Annotation & Labeling

End-to-end annotation services for internal clinical and biomedical data — letting you operationalize faster, free up talent, and reduce annotation overhead.

Model Fine-tuning & Evaluation

Clinical AI systems require both precision and ethical rigor. Our team provides fine-tuning and evaluation services to ensure your models perform reliably in real-world healthcare settings.

Healthcare AI Datasets

Regulatory & Privacy Risk

Challenge: Healthcare AI must navigate strict privacy rules, consent management, anonymization and cross-border data flows.

Solution: Geofenced contributor networks, consent-based sourcing, patient privacy workflows, full HIPAA and GDPR compliance and ISO 27001 and 27701 certification.

Clinical Data Complexity

Challenge: Patient-care workflows, imaging, biomedical labs and provider interactions generate unstructured, high-volume data that’s hard to annotate and manage.

Solution: Defined.ai’s annotation workflows and clinical-domain expertise enable structured, high-quality datasets, ready for AI model training.

Model Deployment & Bias Mitigation

Challenge: Healthcare AI models must be robust, fair and validated across populations, languages and use cases to avoid bias and errors.

Solution: Large-scale multilingual datasets, rigorous quality control and domain-specific fine-tuning help reduce bias and improve reliability in diverse environments.

Transform your healthcare AI projects.

Book a call with our healthcare AI data experts to explore how you can accelerate your project, lower risk, and scale across markets.