MedPulse Health Systems · Zurich, Switzerland · 2025
MedPulse AI Diagnostics & Radiology Workspace
HIPAA-compliant DICOM scan pre-screening in under 4 minutes with 99.4% precision
Model Precision
99.4%
Validated against 250,000 annotated clinical DICOM scans.
Emergency Triage
< 4 min
Average time from scan upload to automated risk classification.
Compliance Standard
HIPAA & GDPR
End-to-end zero-knowledge encryption for patient health records.
01 / Executive Overview
Setting
the Stage
"Computer vision platform assisting radiologists in rapid triage and automated abnormality scoring."
MedPulse Health Systems partnered with ProjonmoLab to tackle critical radiologist burnout and emergency room delays. We developed a medical-grade computer vision pipeline and DICOM viewer workspace that flags urgent pathologies in real time.
02 / The Challenge
Radiology Backlogs & Emergency Triage Delays
Hospital radiology departments were overwhelmed by scan volumes, resulting in average wait times of over 6 hours for critical scan reviews. Early detection window delays increased patient risk in stroke and trauma cases.
Key Bottlenecks
- 1Inability to prioritize emergency brain MRI and chest CT scans automatically.
- 2Heavy legacy PACS workstations with slow web browser streaming capabilities.
- 3Strict medical data privacy regulations requiring zero data leakage on cloud inference.
03 / Solution
Deep Neural Network Pipeline & Zero-Latency Web DICOM Canvas
We built a PyTorch deep neural network model deployed on specialized GPU clusters. The model generates interactive heatmap overlays over high-resolution DICOM files rendered directly in modern browsers via WebGL and Cornerstone.js.
01
Instant Pathology Heatmaps
Visual grad-CAM highlights pinpointing micro-nodules and acute hemorrhages.
02
WebAssembly DICOM Decoder
Renders 3D CT volume scans smoothly at 60 FPS directly in Chrome and Safari.
03
HIPAA Cloud Enclave
Automated DICOM de-identification pipeline guaranteeing anonymized ML inference.
04 / Technical Stack
Engineered with Precision
AI & ML Core
Web Frontend
Data & Storage
Security & Ops
05 / Business Impact
Life-Saving Diagnostic Velocity
The MedPulse AI workspace reduced emergency scan turnaround time from 6 hours down to 14 minutes, significantly improving acute care outcomes.
18x Faster
Diagnostic Velocity
96%
Radiologist Satisfaction
34 Outlets
Hospitals Onboarded
Client Endorsement
"The interface ProjonmoLab crafted for MedPulse is incredibly intuitive. It doesn't replace the radiologist—it empowers us to save crucial minutes when patients need it most."
Dr. Henrik Lindqvist
Head of Neuroradiology, Zurich University Hospital
Visual Gallery
