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

(molecheck.info)
422 points sungam | 4 comments | 07 Sep 25 10:38 UTC | HN request time: 0.478s | 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.

1. toledocavani ◴[07 Sep 25 13:31 UTC] No.45157999[source]▶
Is there any reputable (reviewed, endorsed) AI model to detect skin cancer? I have a lot of similar moles, and playing with this app make me concern about all of them.
replies(2): >>45158044 #>>45161267 #
2. scotty79 ◴[07 Sep 25 13:38 UTC] No.45158044[source]▶
I heard that the good rule of thumb is to be concerned about unique ones. It much less probable that you develop exactly same looking cancer in two unrelated spots.
replies(1): >>45161718 #
3. sungam ◴[07 Sep 25 19:14 UTC] No.45161267[source]▶
Lots of models out there but I would not trust any for diagnosis without review of a dermatologist yet. The challenge is unanticipated edge cases and managing risk/liability/regulation. I have no doubt that if a major AI company focused on this problem then these issues could be overcome with current technology but perhaps the market is not big enough to justify the investment required.
4. sungam ◴[07 Sep 25 20:13 UTC] No.45161718[source]▶
Yes we call this the "Ugly Duckling" sign