MediScan – AI Radiology Assistant

Platforms

Web (Radiologist Portal), DICOM Viewer Plugins, On-Premise GPU Servers, Cloud (HIPAA)

Service

Medical AI Model Development, FDA Submission Support, PACS Integration, Clinical Validation, Training

Project Timeline

18 Months (Data Annotation → Model Training → Clinical Trials → FDA Submission → Deployment)

Increased in ROI revenue

→ 94% sensitivity, 91% specificity
→ 30% faster diagnosis turnaround
→ Adopted by 80+ clinics
→ $220K/year saved per radiologist in time costs

MediScan analyzes chest X-rays and CT scans to detect lung nodules >3mm. Radiologists upload DICOM files → AI highlights suspicious regions with probability scores. Integrates with PACS systems. Uses ensemble CNN models trained on 500K+ annotated scans. Reduces false positives via 3D spatial analysis. Generates preliminary report with measurements + comparison to prior scans. FDA Class II cleared. Used as “first reader” — radiologist validates findings. Cuts reading time from 15 mins → 4 mins per scan.

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