Healthcare Dataset for Radiology AI and Clinical Models
99M+ 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.
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: 143.6K patients + 38.7M images
CT Scan: 255K patients + 58.8M images
IPD and IVF discharge: 552.8K patients + 554.8K files
Dermatology and OPD: 444.7K patients + 461.5K images
X-Ray: 275.2K patients + 486.7K images
USG and ECHO: 4.9K patients + 15.9K 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.