Our Data
The Data Behind Cutisight
You've heard the saying "garbage in, garbage out"? It's especially true for medical technology. Cutisight's accuracy, reliability, and fairness depend entirely on the quality and diversity of its training data. Let's peek behind the curtain at how Cutisight learns to recognize skin conditions.
Why Data Matters
Imagine trying to learn dermatology from a textbook that only shows skin conditions on one skin type. You'd struggle to recognize those same conditions on different skin tones, right? That's why Cutisight's training data is meticulously curated to represent India's diverse population.
Diverse & Representative
Cutisight trains on images representing all Indian skin types (Fitzpatrick II-VI) and conditions common in the subcontinent.
Ethically Sourced
All patient data is meticulously anonymized, with proper consent and ethical oversight throughout the collection process.
Expert Validated
Dermatologists verify and annotate each image, ensuring Cutisight learns from accurate, high-quality examples.