⚠️ PRE-SEPTEMBER 15 ALERT: Major internet platforms are implementing new restrictions on AI crawlers starting Sept 15, 2026. Our dataset captures the last comprehensive snapshot. Lock in your dataset now.
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The ER Oncology Dataset: Physician-Validated Records for AI Training

AI needs good data. But PubMed has 30 million articles. Which ones matter?

We read them. Our Physician Review Team reviewed over Loading... 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.

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The Problem

"AI is only as good as its training data. But PubMed has 30 million articles."

AI healthcare startups face a massive problem: drowning in irrelevant, low-quality medical literature while missing the high-impact studies that matter.

Engineers waste weeks filtering noise. Models hallucinate on edge cases. Clinical decision support systems fail because they're trained on broad, unspecific data.

The Solution

"The ER Oncology Dataset β€” Loading... Records, 10 Quality Scores, Physician-Validated"

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Physician-Validated ER Records Seeded Live
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A La Carte Dataset Filtering

Customize your dataset properties before checkout. If no filters are selected, you will receive the full un-truncated dataset.

How It Works

Our rigorous physician validation flow ensures that only high-utility, clinically accurate ER records make it to your training pipeline.

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1. We review every record

Raw records are collected from ClinicalTrials.gov, PubMed, and OpenFDA matching oncology emergency profiles.

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2. Add physician notes

Every record passes 10 hardcoded logic rules assessing study type, data completeness, evidence levels, and ER relevance.

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3. Approve or reject

Our physicians personally review, annotate, and approve every record on the clinician dashboard.

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4. Export curated dataset

We deliver structured datasets in CSV/JSON formats with full scorecard validation matrices and custom notes.

Sample Dataset Preview

A visual representation of the flat database schema and structured physician notes included in every export.

Title: Low-dose low-molecular-weight heparin vs placebo in ambulatory cancer patients.
Condition: Cancer-Associated Thrombosis (CAT)
Evidence Grade: Grade A  |  ER Applicability: 9.2/10  |  Actionability: STAT
Physician Notes (Our Physician Review Team): Data: Double-blind RCT. n=115. RR 0.62 (95% CI 0.45-0.84). p=0.03. Caveats: LMWH requires renal dose adjustment (CrCl <30 mL/min). ER Takeaway: Safe and effective for cancer outpatients. Use in ER triage for thrombosis prevention.

10 Scoring Rules That Filter the Noise

Hardcoded in the validator, not a marketing checklist β€” every exported record carries its full rule breakdown.

No.RuleWhat it checks
1ER Applicability ScoreEvery record scored 0-10 for real-world emergency department applicability.
2Guideline AlignmentFlagged if it contradicts current standard-of-care / ACLS-ATLS-aligned guidelines.
3Statistical IntegritySample size >=30 and p<0.05 required to pass; underpowered studies are flagged.
4Outcome RelevanceDifferentiates surrogate endpoints (lab values) from patient-centered outcomes.
5Bias DetectionFlags industry-sponsored, single-center, and unblinded studies.
6Clinical PlausibilityCompares reported effect sizes to plausible ranges; flags outliers for review.
7ActionabilityRates how immediately actionable the finding is in an ER setting (STAT/Routine/N-A).
8Evidence GradeA-F grading, A = meta-analysis down to F = case report / adverse-event report.
9Population FitMatches study population to typical adult ER demographics.
10Recency WeightHigher weight for studies under 5 years old.

Our Physician Review Team

Every record is verified by active emergency practitioners with clinical clinical-review standards.

PRT

Our Physician Review Team

Active Board-Certified Clinicians

- Each record is reviewed by a practicing ER physician with 30+ years of experience
- All physicians on our team maintain active clinical practice in high-acuity environments
- No names listed publicly to protect proprietary review workflows

View Sonny Saggar, MD Publications on SSRN β†—

What Customers Say

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."

β€” Lead AI Scientist, HealthTech Unicorn
Coming soon from real customers

"The 10-rule scorecard combined with ER applicability scores allowed us to filter out noise instantly. Highly recommended."

β€” Director of Pharmacovigilance, Global Pharma
Coming soon from real customers

Dataset specifications & pricing tiers

All tiers are physician-reviewed. Every record ships with its full 10-rule scorecard.

Mini

Free / 50 records
  • Level 2 reviewed sample
  • Requires email verification
  • Manual review & approval

Growth

$3,500 / 500 records
  • Level 2/3 mixed, audit-grade top records flagged
  • Priority condition weighting available on request
  • CSV + JSON delivery

Frequently Asked Questions

Q: Who validates the data?

A: Our physician review team personally reviews every record. No automated validation shortcut is used. Each physician has 30+ years of clinical experience.

Q: What sources are used?

A: ClinicalTrials.gov, PubMed, and OpenFDA. We're actively expanding to include global registries (EU Clinical Trials Register, WHO ICTRP) for complete global coverage.

Q: Can I filter by disease/condition area or evidence grade?

A: Yes, use our A La Carte filter tool during checkout to select exactly what you need.

Q: Is this data suitable for AI training?

A: Yes. We hear the disclaimer "AI makes mistakes" everywhere. Our datasets are designed to reduce that – by providing physician-verified, high-quality training data that filters out noise and low-evidence studies.

Q: What format is the data in?

A: CSV and JSON, ready for any AI pipeline. We also offer UDS (Universal Document) format for customers requiring cryptographic verification.

Q: How many records are currently available?

A: Thousands of records across multiple ER specialties, growing weekly. Our pre-September dataset captures the last comprehensive snapshot of public medical literature before AI crawlers are restricted.

Q: Do you provide updates?

A: Enterprise customers (defined as any dataset purchase of $3,500+ or custom volume) receive quarterly updates and priority support.

Q: Why is pre-September 15th important?

A: Major internet platforms are implementing new restrictions on AI crawlers starting September 15, 2026. Our pre-September dataset captures the last comprehensive snapshot of public medical literature. After this date, new records will be significantly harder to obtain.

Q: How do I know the data is accurate?

A: Every record is reviewed by a practicing ER physician. We apply 10 quality scores to filter noise. And we cryptographically seal each dataset so you can verify its integrity.

Q: Can I see a sample before buying?

A: Yes. Request a free 50-record Mini dataset. We'll send it within 24 hours.

Q: Do I need a license agreement?

A: Yes – standard research and AI training license. No commercial resale.

Q: How does this compare to raw PubMed data?

A: Raw PubMed is uncurated noise. We've applied physician judgment to filter, grade, and annotate every record. You get quality, not volume.

Ready to Train Your AI on Physician-Validated Data?

Contact Our Curation Team

We typically respond within 4 business hours.