AI needs good data. But PubMed has 30 million articles. Which ones matter?
We read them. A practicing ER physician with 30 years of experience reviewed over 790 oncology records. Each one got graded, scored, and annotated. You get 10 quality scores, clinical context, and real takeaways.
Stop wasting your engineers' time. Start training on data that actually works.
Customize your dataset properties before checkout. If no filters are selected, you will receive the full un-truncated dataset.
Our rigorous physician validation flow ensures that only high-utility, clinically accurate oncology ER records make it to your training pipeline.
Raw records are collected from ClinicalTrials.gov, PubMed, and OpenFDA matching oncology emergency profiles.
Every record passes 10 hardcoded logic rules assessing study type, data completeness, evidence levels, and and ER relevance.
A practicing ER physician reviews every record, introduces clinical shorthand, writes ER notes, and grades actionability.
We deliver structured datasets in CSV/JSON formats with full scorecard validation matrices and custom notes.
A visual representation of the flat database schema and structured physician notes included in every export.
Every oncology emergency record is verified by a practicing physician with clinical clinical-review standards.
Sonny Saggar, MD brings over 30 years of medical experience in the emergency department. He has personally reviewed, scored, and annotated every record on the Universal Document platform to ensure it meets strict clinical quality indicators, making it optimal for healthcare AI models, clinical researchers, and pharmacovigilance teams.
Early feedback from health AI teams training on our structured oncology emergency datasets.
"Having physician-verified notes saved our engineers hundreds of hours of preprocessing. The quality of our oncology triage bot improved dramatically."
— Lead AI Scientist, HealthTech Unicorn"The 10-rule scorecard combined with ER applicability scores allowed us to filter out noise instantly. Highly recommended."
— Director of Pharmacovigilance, Global PharmaHardcoded in the validator, not a marketing checklist — every exported record carries its full rule breakdown.
| Rule | What it checks | |
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All tiers are physician-reviewed at Level 2 (Clinical Review) or above. Every record ships with its full 10-rule scorecard.