Our partner developed an advanced AI-driven solution to support medical professionals in the early detection of skin cancer. The team designed an iOS application that seamlessly integrates with a specialized scanning device to enhance diagnostic accuracy and efficiency.

Innovative Workflow & Features Upon scanning a skin lesion, the device transmits high-resolution images to the application, where an AI-powered machine learning model, leveraging computer vision technology, analyzes the lesion and classifies it as cancerous or non-cancerous. This enables healthcare providers to diagnose conditions faster, facilitating early intervention and significantly improving patient recovery outcomes.

Key Capabilities:

• Health-Related Image Classification – AI-powered analysis to accurately assess skin lesion conditions.
• Feature Extraction & Quality Assessment – Ensuring high-precision image evaluation for reliable diagnostics.
• API Development & Integration – Seamless connectivity with external healthcare systems.
• Azure Databricks Integration – Advanced cloud-based data processing and model training.
• MLflow Implementation – Efficient model tracking and performance monitoring.

This AI-powered solution empowers healthcare professionals with cutting-edge diagnostic capabilities, revolutionizing early skin cancer detection and enhancing patient care outcomes.