Capture and process images into a standardized, consistent and high-quality form of skin lesions optimized for clinical diagnosis using mobile phones only.
Utilizing of standardized images to perform highly accurate analysis of skin conditions using deep learning trained on diverse skin tones and pathologies
Creation of a 3D human model to normalize different images for a skin lesion captured at multiple timepoints. The model will act as a geometric medical record
Seamless integration with existing Electronic Health Records systems for centralizing patients data, allowing of data synchronization and streamlining of workflows