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Training Data Corpus

Healthcare Dataset for Radiology AI and Clinical Models

53M+ healthcare files from verified providers is an InfoBay corpus for enterprise AI teams that need traceable, expert-curated healthcare training data. De-identified diagnostic imaging, clinical records, findings, prescriptions, pathology, and longitudinal care datasets.

Each dataset page is designed as a procurement-friendly overview: what the corpus contains, why it matters for model quality, which metrics are available, and how teams can request a scoped sample.

More corpus topics

Viewing Healthcare

1.6M+

patients

53M+

files and images

26.8M

CT images

24.8M

MRI images

626K

X-Ray images

376K

HIV ART records

Dataset Overview

De-identified diagnostic imaging, clinical records, findings, prescriptions, pathology, and longitudinal care datasets.

  • Provider-sourced medical samples are de-identified for privacy.
  • Clinical validation and standardization support AI readiness.

Dataset breakdown

The corpus is structured for inspection, scoping, and model-training decisions rather than packaged as an opaque bulk asset.

  • MRI: 77.9K patients + 24.9M images
  • CT Scan: 144.8K patients + 26.9M images
  • IPD and IVF discharge: 436.8K files
  • Dermatology and OPD: 315.4K images
  • X-Ray: 250.4K patients + 627K images
  • USG: 3K patients + 9K images

Answers for buyers

FAQ

What is the InfoBay Healthcare dataset used for?

The Healthcare dataset is used for AI training, fine-tuning, evaluation, and domain-specific model development where curated, documented data quality matters.

Can teams request a sample before licensing?

Yes. InfoBay supports scoped sample requests so teams can evaluate format, coverage, and suitability before a larger licensing discussion.

Does InfoBay provide provenance and metadata?

Yes. InfoBay datasets are structured with source, modality, language, category, and quality metadata where applicable, supporting enterprise review and compliance workflows.