Blog
Stories about skin data and AI analysis.
Measuring skin accurately isn’t enough on its own. This is how INSKINVIEW turns measurement results into a treatment plan, and how we’re refining that process with the judgment of many dermatologists.
If an AI scores your wrinkles at 62, what is that score based on? This is how INSKINVIEW checks the basis of its AI's judgments — and how we're working to make scores something you can see.
When people think of skin analysis, oil and moisture usually come to mind first. This is why INSKINVIEW left both out of its measurements — and why, in this area, how you feel matters more than any number.
Advice on what's "good for your skin" is everywhere, but the weight of the evidence varies wildly. A dermatologist's look at lifestyle and skin, graded by the strength of the evidence.
Why should wrinkles, sagging, and volume be read separately? Starting from the layered structure of facial skin, this is how each of INSKINVIEW's six axes reflects change at a different depth.
When a procedure's effect appears varies by method and by person. This is about what a single before-and-after can't tell you, and how to confirm change cumulatively.
Oncology has standard treatment guidelines. Aesthetic procedures don't. This is about how AI should help with decisions that have no single right answer.
Wrinkles, pigmentation, and sagging don't age at the same speed. This is the timeline of skin aging drawn from thousands of people — and how it differs between men and women.
Dermatologists grade skin in steps, yet INSKINVIEW scores run 0 to 100. This is how a model trained on grades learns to read a fine-grained scale.
A small shift in angle, distance, or lighting moves the result. This is about finding the point where capture stays easy but accuracy holds.
Skin changes between days, and even between morning and afternoon. This is about what a single reading can't tell you, and why frequency matters.
Dermatology clinics have had facial analysis devices for over a decade. This is the story of why it still had to be a smartphone and why now.
Skin severity rarely has a single right answer. This is the question a dermatologist carried through a university hospital and a medical AI company, 'how much can we trust a doctor's judgment?', and the story of solving it with AI.
Is there really a way to measure skin objectively? This is the question a board-certified dermatologist carried from his residency — and the question that eventually became InSkin Lab and INSKINVIEW.
