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PROJECT_002 // MEDICAL IMAGING

MEDISCAN CORE

DEPLOYED
STATUS: FDA APPROVED
SECTOR: MEDICAL AI
TIMELINE: 18 MONTHS
MediScan Core Interface
// DIAGNOSTIC IMAGING SYSTEM v3.1

// OVERVIEW

THE CHALLENGE

Radiologists process hundreds of medical images daily, but human fatigue and diagnostic variability lead to critical errors. Detecting subtle abnormalities in CT scans, MRIs, and X-rays requires years of specialized experience.

Compaiser developed a computer vision system that consistently surpasses board-certified radiologists in diagnostic accuracy, reducing analysis time from 45 minutes to 2.3 seconds.

// SOLUTION

AUTONOMOUS MEDICAL VISION

We trained 3D convolutional neural networks on 4.2 million medical images annotated by experts. The system detects 47 different pathology types: tumors, fractures, hemorrhages, infections, and more.

MediScan Core obtained FDA Class II clearance and is deployed in 23 hospitals, processing over 8,000 imaging studies daily with 96.8% diagnostic sensitivity.

// CLINICAL METRICS

96.8%

SENSITIVITY

2.3s

ANALYSIS TIME

23

HOSPITALS

FDA II

CERTIFICATION

// TECHNICAL STACK

AI ARCHITECTURE

  • - Modified 3D ResNet-152
  • - Attention mechanisms
  • - PyTorch framework
  • - Medical transfer learning

INTEGRATION

  • - DICOM protocol support
  • - HL7 FHIR integration
  • - PACS system compatible
  • - React dashboard frontend

COMPLIANCE

  • - FDA 21 CFR Part 820
  • - HIPAA compliant
  • - ISO 13485 certified
  • - CE Mark approved

READY TO DEPLOY?

Compaiser is accepting applications for the next cohort of autonomous ventures.

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