Identify Skin

ai skin detection, ai dermatology, skin scanner, skin check

8 followers

ai skin detection, ai dermatology, skin scanner, skin check

8 followers

Check your skin with our AI dermatologist skin scanner and mole checker. Detect melanoma, get a risk score for suspicious moles, and track changes over time. No wait. Our work has the potential to transform skin health on a global scale. By providing accessible and affordable AI‑powered tools, we aim to reduce the burden on healthcare systems, improve early detection rates, and ultimately save lives.

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Launch tags:Artificial Intelligence•Medical•Health

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Our Story We began with a single idea: use deep learning to spot skin cancer earlier. That idea was born in a 2024 master’s thesis at BSUIR, and it quickly grew into a full‑fledged AI platform. Today, we’re a research group that bridges computer science and dermatology, working with renowned hospitals and universities to turn cutting‑edge algorithms into bedside‑ready solutions. Why We Do It We believe everyone deserves access to accurate skin checks, whether they live in a city with top clinics or a village with none. Our mission is to put dermatological intelligence into the hands of individuals and frontline healthcare workers, making prevention and early action possible for all. Who We Are We’re a diverse team of clinicians, engineers, and scientists based in Minsk. Many of our medical experts are graduates of Belarusian State Medical University, so every line of code is reviewed with a stethoscope in mind. We also lean on our global network of academic advisors to challenge and refine our work constantly. How We Innovate Research is our engine. We experiment with new neural architectures, gather richer datasets, and validate each model against gold‑standard annotations from our partner hospitals. Our results are shared at major conferences and in scientific journals, and we run live clinical studies to see how our tools perform under real‑world pressure. Our Global Family We’re proud to collaborate with the University of Miami, Brigham and Women’s, the University of Washington, King’s College London, Oxford, and BSMU, as well as the Belarus Ministry of Health. These partnerships give us diverse patient data and rigorous peer review – essential ingredients for trustworthy AI. The Change We Seek We judge ourselves not by publications, but by the difference we make. Our tools are already helping doctors diagnose faster and patients worry less. With every update, we aim to be more inclusive, more accurate, and more useful. Ultimately, we want to contribute to a world where skin cancer is caught early and treated effectively – and where AI serves as a reliable second pair of eyes for every dermatologist.

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2mo ago

Would love to see integration with Apple Health or Google Fit so mole photos and risk scores get timestamped automatically. That way tracking changes over time feels less like a chore and I don't have to remember when I last scanned a spot.

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2mo ago

The mole tracking timeline view is genuinely clever—being able to compare changes side by side over weeks or months gives the risk score real context instead of feeling like a single snapshot guess.

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2mo ago

A real lifesaver for catching weird moles early. One thing that would make it even better is letting you upload photos taken by someone else with a guide overlay to help align the camera properly on hard to reach spots like your back.

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2mo ago

Finally something that feels genuinely useful for tracking a mole I've been watching. The risk score and change-over-time tracking is a smart way to keep an eye on things between dermatologist visits.

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2mo ago

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