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Show HN: I'm a dermatologist and I vibe coded a skin cancer learning app

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422 points sungam | 1 comments | 07 Sep 25 10:38 UTC | HN request time: 0.205s | source

Coded using Gemini Pro 2.5 (free version) in about 2-3 hours.

Single file including all html/js/css, Vanilla JS, no backend, scores persisted with localStorage.

Deployed using ubuntu/apache2/python/flask on a £5 Digital Ocean server (but could have been hosted on a static hosting provider as it's just a single page with no backend).

Images / metadata stored in an AWS S3 bucket.

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haspok ◴[07 Sep 25 17:03 UTC] No.45159948[source]▶
A few years ago there used to be an ML-based app for Android that could classify photos of lesions that you took with your phone and could recommend you a visit to the dermatologist (or not). Unfortunately it seems to be removed now, the webpage is still live (somewhat): https://emdee.ai/

It was done by a small team in Hungary, with the support of MDs of course. (I would guess that the majority of the work was coordinating with MDs, getting them to teach the software... and collecting photos of lesions. Must have been fun!)

They probably could not monatize it (or were not interested, or it was just too much work for a side hustle)... the sad reality of living in Eastern Europe.

I do think that the idea is perfect, it is non-invasive, but could warn you of a potentially very dangerous condition in time. You don't have to wait for the doctor, or unnecessarily visit them. I would actually pay for this as a service.

replies(3): >>45160031 #>>45160278 #>>45160293 #
1. sungam ◴[07 Sep 25 17:30 UTC] No.45160278[source]▶
Making an app like this is (relatively) straightforward. The challenge is managing liability / risk / regulation. For individual doctors we accept that some errors will occur and there is a well defined insurance / liability framework. We do not yet have this for AI but I think it will come eventually.