Computer Vision Medical Imaging

Superhuman diagnostic precision for rapid X-ray and MRI anomaly detection.

CLIENT

DiagnoAI Health

LOCATION

Boston, MA

DURATION

12 Weeks

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Industry Standard

Certified Implementation

99.2%

Diagnostic Sensitivity

Matched top-tier radiologist accuracy on lung nodule and fracture detection.

Faster Review Speed

Cut radiologist report drafting time from 15 minutes down to 3 minutes per case.

Critical Delay Incidents

Emergency triage queue automatically prioritized high-risk scans instantly.

250k+

Scans Analyzed

Processed quarter-million scans seamlessly with zero downtime.

EXECUTIVE SUMMARY

Project Overview

DiagnoAI partnered with Encelion.tech to engineer an FDA-compliant computer vision platform capable of identifying micro-fractures, lung nodules, and early-stage tumors from diagnostic radiological scans in seconds, accelerating clinician review speed fivefold.

THE CHALLENGE

What the Client Faced

Radiology departments facing acute staffing shortages experienced backlogs of up to 48 hours for routine chest X-ray interpretations. Critical early detections were occasionally delayed, highlighting an urgent need for automated, ultra-precise visual triage assistants.

THE ENCELION SOLUTION

How We Solved It

Encelion developed a deep convolutional neural network architecture (CNN + Vision Transformers) fine-tuned on over 250,000 anonymized DICOM medical scans. The system auto-highlights suspicious regions, calculates risk probabilities, and generates pre-drafted structured radiological reports.

PHASE 01

Data Anonymization & DICOM Pipeline

Established HIPAA-compliant data pipelines handling high-resolution 3D DICOM medical imagery securely.

PHASE 02

Ensemble Model Training

Trained multi-scale vision transformers combining bounding-box detection and semantic segmentation.

PHASE 03

PACS & EHR Integration

Embedded visual inference overlays directly into existing hospital Picture Archiving and Communication Systems (PACS).

PHASE 04

Clinical Validation

Validated performance alongside board-certified radiologists over a 60-day blind clinical trial.

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CLIENT TESTIMONIAL

"The precision and speed of Encelion’s computer vision system is astounding. It acts as an tireless expert second pair of eyes for our radiologist team every single day."

Dr. Marcus Vance

Chief Medical Officer, DiagnoAI Health

TECHNOLOGY & TOOLS USED

PyTorchYOLOv10MONAI Medical FrameworkTensorRTDICOM Web APINVIDIA Tensor Core GPUs