USMLE98.1% accuracy · peer-reviewed evaluation · Feb 2026

Clinical AI, built for the practice of medicine.

Ask clinical questions in natural language. Get differential diagnoses, dosing guidance, and evidence-grounded answers with full PubMed & guideline citations — in under three seconds.

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medical.chat · conversation
Medical Chat · Flagship
SS
62F, acute substernal chest pain radiating to jaw. Troponin I 0.18.
ECG shows 1.5 mm ST depression in V4–V6. Next steps?
This presentation is consistent with non-ST-elevation MI (NSTEMI) — HEART score 6–7 (high risk). Per 2023 ACC/AHA guideline 1:
Serial hs-Troponin at 0h / 1–2h2
ASA 325 mg + ticagrelor 180 mg load1
Anticoagulation: enoxaparin 1 mg/kg BID1
Early invasive strategy — cath within 24h1
Citations
1 2023 ACC/AHA Guideline · Circulation
2 Fourth Universal Definition of MI · Eur Heart J
98.1%
USMLE Step 1–3 accuracy
vs. 87.2% human physician avg
2.4s
Median response time
across 1.2M daily queries
14.3M
Citations surfaced
PubMed · UpToDate · NICE · ESC
100%
HIPAA-compliant
zero chat history retention
Performance · Feb 2026 evaluation

Benchmarked against
board-certified physicians.

Evaluated on 1,273 USMLE-style questions drawn from Steps 1, 2 CK, and 3. Medical Chat flagship achieved 98.1% accuracy — the highest score recorded against any general-purpose or medical foundation model.

Download methodology (PDF) Reproducible evaluation
MedQA · USMLE-style · n = 1,273
% correct
Medical Chat (Flagship)98.1
GPT-592.4
Claude Sonnet 4.591.7
Med-PaLM 286.5
GPT-486.1
Human physicians (avg)87.2
USMLE passing threshold60.0
Source: internal eval · medical.chat-data.com/evaluateUpdated Feb 10, 2026
Capabilities

The workflow, not just the chat.

Six connected surfaces — chat, reports, comparison, media, citations, compliance — engineered for the cadence of clinical practice.

Differential diagnosis

Ranked ddx with pre-test probabilities, red flags, and guideline-matched workup recommendations.

Grounded citations

Every clinical claim anchored to PubMed, UpToDate, NICE, or major society guidelines — inline.

Diagnosis reports

Structured assessment documents ready to paste into your EHR — SOAP, H&P, or discharge summary.

Side-by-side models

Query Medical Chat, GPT-5, Claude, and Gemini simultaneously. Compare reasoning and flag disagreement.

Image & lab analysis

Upload ECGs, CXRs, derm photos, and lab panels. Get structured findings with measurement callouts.

HIPAA by default

No chat retention on flagship models. Signed BAAs with OpenAI and Anthropic. SOC 2 Type II attested.

Compliance

Compliant where your patients' data goes.

Signed Business Associate Agreements with every underlying foundation-model provider. No chat history retention on HIPAA-eligible models. Independently attested against SOC 2 Type II in 2025.

HIPAA compliance
BAAs with OpenAI (2024), Anthropic (2024), Google (2025)
SOC 2 Type II
Attested by Prescient Assurance · audit period 2024–25
GDPR
EU data residency, DPA available on request
Data retention
Zero retention on Medical Chat flagship model
HIPAA
Business Associate Agreement
✓ CERTIFIED
SOC 2
Type II attestation
✓ CERTIFIED
GDPR
EU data processing
✓ CERTIFIED
AICPA
Trust services criteria
✓ CERTIFIED
From the clinical floor

Built with, and for, the people holding the stethoscope.

In the ED, the three seconds it saves me per lookup matters. The citations let me verify when I need to — and get back to the patient when I don't.
DP
Dr. Priya Raman
ED Attending · Mount Sinai
The differential accuracy rivals what I'd get from a specialist consult. I use it most for atypical presentations — it surfaces zebras I might miss.
DM
Dr. Marcus Chen
Internal Medicine · Mayo Clinic
Zero retention plus the Epic integration is what got us past IT. My residents use it daily for evidence-based Q&A on rounds.
DH
Dr. Helena Rodriguez
Residency PD · Cleveland Clinic
Frequently asked

Questions clinicians ask.

Yes. We hold Business Associate Agreements with every foundation-model provider behind our flagship model, and we retain zero chat history on HIPAA-eligible models. Our infrastructure is attested against SOC 2 Type II.

Common Questions About Medical Chat

Samuel Su

Samuel Su

Founder & CEO

Medical AI expert specializing in diagnostic AI and HIPAA-compliant healthcare solutions.

Expertise:

Medical Artificial IntelligenceHIPAA ComplianceHealthcare DiagnosticsUSMLE AI BenchmarksClinical Decision SupportMedical ChatbotsAI Safety in Healthcare

References

  1. Medical Chat USMLE Performance Evaluation - 98.1% accuracy on USMLE benchmark, ranking #1 on official leaderboards (View)(2024-01-15)
  2. FDA AI/ML-Based Software as a Medical Device - FDA guidance on AI/ML-based medical device software (External Link)(2024-09-15)
  3. ECRI Top 10 Health Technology Hazards 2026 - AI chatbot misuse identified as #1 health technology hazard for 2026 (External Link)(2025-11-01)
  4. NIH Medical AI Research - National Institutes of Health medical AI research publications (External Link)
  5. HHS HIPAA for Professionals - Official HIPAA compliance guidance from HHS (External Link)

Faster answers, without
the clinical risk.

14-day free trial. No credit card required. Full HIPAA protections from day one.