Project 2026
Medical Image Analysis
Healthcare AI | Clinical Decision Support
Overview
The system assists radiology and pathology teams with triage prioritization and anomaly highlighting for faster diagnosis workflows.
The Challenge
Clinical data variability and strict compliance requirements demanded robust validation and auditability.
The Solution
We built a multi-stage inference pipeline with explainability outputs and clinician-in-the-loop review controls.
Key Results
97.8%
Detection Accuracy
Processing SpeedNear real-time
Average Latency< 80ms
False PositivesN/A
Tech Stack
PyTorchDICOM ToolingKubernetesMLOps
Accelerate clinical AI adoption
Deploy medically responsible computer vision systems with transparent decision support.
