Healthcare

AI-Rad Diagnostic Assistant

An AI-powered Computer Vision tool assisting radiologists in detecting early signs of pneumonia and fractures in X-rays with 95% accuracy.

Case Study Snapshot

Category

Healthcare

Client

Confidential

Team Size

5-8

Budget

$200k+

Duration

10 months

Views

55

Project Overview

We consulted on and implemented a Computer Vision model trained on over 100,000 medical images. The system highlights potential anomalies, allowing doctors to prioritize critical cases effectively.

Key Features:

  • Automated image segmentation
  • Anomaly detection heatmaps
  • Seamless API integration with hospital PACS systems

Skills & Technology Stack

Skills

Machine Learning TensorFlow

Technologies

React
Python
Google Cloud
Docker

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