Powered by MiMo V2.5 Pro

AI Medical Document Analysis in Seconds

Extract diagnoses, medications, and clinical insights from medical documents with 98.5% accuracy. HIPAA-compliant, FDA-ready.

2.1M
Documents Processed
98.5%
Extraction Accuracy
340ms
Avg Processing Time
47
Document Types

Live Document Analysis

Upload a medical document for instant AI extraction and analysis

🩺 Lab & Diagnosis
🫁 Imaging
💊 Prescription

📄 Drop PDF, JPG, or PNG here

Supports medical records, lab reports, prescriptions, insurance claims — Max 25MB

🩺 Diagnoses Detected

3
Hypertension (I10), Type 2 Diabetes (E11.9), Hyperlipidemia (E78.5)
ConfirmedActive

💊 Medications Extracted

5
Metformin 500mg, Lisinopril 10mg, Atorvastatin 20mg, Aspirin 81mg, Omeprazole 20mg
All verified

🔬 Lab Results

12
HbA1c: 7.2% (↑), LDL: 142mg/dL (↑), BP: 138/88 (↑), Glucose: 156mg/dL
3 abnormal9 normal

📋 Clinical Summary

Patient presents with uncontrolled T2DM and Stage 1 hypertension. Recommend increasing Metformin to 1000mg and adding Amlodipine 5mg. Follow-up HbA1c in 3 months.

Clinical-Grade AI

Built for healthcare organizations

📄

Document Extraction

OCR + NLP extracts text, tables, and structured data from scans, PDFs, and handwritten notes.

🩺

Diagnosis Mapping

Maps extracted diagnoses to ICD-10 codes with 98.5% accuracy. Flags discrepancies and duplicates.

💊

Medication Parsing

Extracts drug names, dosages, frequencies. Cross-references with drug interaction database.

🔬

Lab Result Analysis

Reads lab values, identifies abnormal results, tracks trends over time with visual charts.

🔒

HIPAA Compliant

End-to-end encryption, audit logs, BAA available. Data never leaves your region.

📋

Clinical Summaries

Auto-generates clinical summaries, referral letters, and discharge notes from raw documents.

Trusted by Healthcare

Deployed across hospitals, clinics, and insurers

Hospitals

Medical Records Processing

Automate intake processing — 10K patient records per day, 3 minutes per record instead of 45 minutes.

15x
Faster intake
98.5%
Accuracy
$1.2M
Saved/year
Insurance

Claims Processing

Auto-extract diagnoses, procedures, and codes from claims documents for instant adjudication.

89%
Auto-adjudicate
3sec
Per claim
$3.4M
Fraud caught
Pharma

Clinical Trial Data

Extract and structure data from clinical trial documents for regulatory submission.

70%
Less manual work
94%
Data completeness
4wks→3days
Submission prep

How It Works

1

Upload

Drop PDF, scan, or image

2

OCR + Extract

MiMo reads and structures data

3

Map

ICD-10 codes, medications, labs

4

Summarize

Clinical summary + alerts

# MiMo Health — Python SDK
from mimo_health import DocAnalyzer

analyzer = DocAnalyzer(api_key="mhk-...")
result = analyzer.analyze("lab_report.pdf")

for dx in result.diagnoses:
    print(f"{dx.icd10}: {dx.name}")
print(result.summary) # Clinical summary