What an AI doctor sees when it analyzes your picture

A reverse image search looks for visually similar pictures on the web and returns whatever pages host them. This analysis extracts specific clinical-style features from your picture, matches them against curated references, and answers one narrow question: how urgent does this look. It never names a condition and it never publishes your picture anywhere.

Yes — the analysis reads whatever the picture shows. But an old picture describes an old moment, and change over time is one of the most important signals in visible concerns. If the area looks different today, take a fresh picture; if you have both, the pair tells you more than either alone.

No. It reads the same surface you can see — it has no view of depth, blood work or anything under the skin. Its advantage is consistency: it compares your picture against reference features the same way every time, without the reassurance bias or alarm that colours human self-checks.

Because the analysis reads pixels, and lighting, angle, distance and focus change the pixels. Different shots of one area can genuinely present different colour and border information. Prefer the picture taken in daylight, in focus, with the area filling the frame — and treat the higher-confidence result as the more reliable read.