Our platform is built on state-of-the-art machine learning algorithms trained on a comprehensive dataset of dermoscopic images, delivering reliable skin lesion classification with dermatologist-level accuracy.
Using advanced deep learning, our system continuously learns and adapts, improving its diagnostic precision over time as it processes more data.
Skin Algnosis classifies 8 distinct types of skin lesions, including Melanoma, Melanocytic nevus, Basal cell carcinoma, and five other common or misdiagnosed types, reducing diagnostic errors.
Our AI delivers instant diagnostic feedback, supporting faster and more informed skin health assessments in clinics or via teledermatology platforms.
Skin Algnosis functions seamlessly across web and mobile platforms, ideal for remote diagnostics and telemedicine, enabling expert-level skin analysis for patients in underserved or rural areas.
We prioritize user data protection with robust security protocols and compliance with healthcare regulations, ensuring secure processing and storage of medical images and diagnostic results.