Machine Learning
Albasr
EMR & Medical Scan Analysis Platform
A next-generation Electronic Medical Record system that enables clinicians to manage registries and analyze radiology, ophthalmology, and cardiology machine scans using built-in ML overlays and diagnostic tools.
Timeline
June 2026
Service
AI Product Engineering
Project Overview
- 1Integrated EMR directories mapping clinical patient files to doctor schedules.
- 2High-performance interactive media viewer for machine scans (radiology, ophthalmology, cardiology).
- 3Dynamic WebGL-inspired rendering filters for brightness, contrast, and scaling controls.
- 4Digital measurement caliper tool to draw clinical distances and calculate anomaly dimensions.
- 5ML-powered computer vision engine highlighting disease category zones and exporting diagnostic reports.
Core Capabilities
AI / Pipeline Highlights
WebGL Canvas Filters
Applies immediate client-side contrast, brightness, and magnification filters.
Interactive Caliper
Draws canvas vectors to calculate real-world physical dimensions of anomalies.
Anomaly Contours
Embeds SVG vector outlines showing exact shape regions of detected pathologies.
Interactive scan visualizer with automated ML lesion contours and annotation caliper tools.
Tech Stack
Platform Value
Decreased Diagnostic Time
Provides diagnostic assistance directly within EMR records, saving radiologist hours.
Interpretability Metrics
ML overlays demonstrate visual regions used in classification, supporting clinical decisions.
Audit-Ready Logs
Exports detailed XML/PDF reports matching medical verification guidelines.