Built for Healthcare Professionals
Every feature designed with clinical workflows and patient privacy in mind.
In-App Camera
Full-screen camera view with live preview, easy capture controls, and front/rear camera switching for optimal wound documentation.
AES-256 Encryption
All images are encrypted before storage using military-grade AES-256 encryption. Keys are stored securely in device keychain/keystore.
AI-Powered Analysis
Send wound images to AI for automated analysis, receiving detailed insights to support clinical decision-making.
Responsive Design
Optimized layouts for both phones and tablets. Automatic device detection ensures the best experience on any screen size.
Local Storage
All encrypted images are stored locally on the device in app-specific directories, ensuring data stays under your control.
Secure API Communication
All network requests use HTTPS with API key authentication, ensuring secure transmission of data to analysis services.
Technical Implementation
Device-Adaptive UI
WoundCam uses a base class architecture with specialized layouts for different form factors. The app automatically detects screen size and renders either a single-column phone layout or a two-column tablet layout optimized for the available space.
Camera Integration
The Camera.MAUI package provides native camera access with full-screen preview, front/rear camera switching, and byte-array image capture for immediate processing without temporary file creation.
AI Analysis
Images are base64-encoded and sent to GPT-4 Vision with a specialized clinical prompt. The analysis returns structured observations about wound appearance, without making diagnostic claims—supporting documentation rather than replacing clinical judgment.