AFAIK Netflix got rid of their 5 star rating as the signal over 2 stars wasn’t worth the mental overhead from users having to decide between a 4 and a 5. Also star rating are culturally dependent so you have to normalize for that effect. In general it’s a total hassle.
Regarding AI-assisted skin cancer diagnosis: This is a huge area that started with the publication of Esteva et al (https://www.nature.com/articles/nature21056) and there have been hundreds of publications since. There are large publicly available datasets that anyone can work with (https://challenge.isic-archive.com/).
My lab has previously trained / evaluated convnets for diagnosis of skin cancer e.g. see this publication: https://pubmed.ncbi.nlm.nih.gov/32931808/
I have no doubt that it will be possible to train an AI model to perform at the same level as a dermatologist and AI models will become increasingly relevant. The main challenge at the moment is navigating uncertainty / liability since a very small proportion of moles / skin lesions that appear entirely harmless both the naked eye and with the dermatoscope (skin microscope) are cancerous.
Perhaps you may want to question your bias and ability to process criticism.
Anyone who shares their ideas publicly will receive criticism. Not only is it ok, it’s helpful to expand the discussion beyond your bias.
Maybe to you, but others in this thread found it interesting.
> Lowers the bar for what good software really is.
Software is a means to some end, not the end in itself. I can make the best coded software that does nothing [0], there is no point to that other than to practice one's skills, but again, those skills are to achieve something in the end.
[0] https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris...
Further, your suggestions are inactionable, and again, miss the point. It’s a low effort - “Lol, why don’t you just…”. No, the point is not to find skin cancer. The point is to show a bunch of pictures to people who are interested, and let them see if they can identify worrying skin lesions.
The app already exists btw. Did nobody in this thread google it before saying it couldn't work?
Improved my score from an abysmal 40% in under 15 units to above 95% accuracy. Also realize that I have skin lesion that warrant an immediate dermatologist visit.
Your characterizations are unnecessarily salty.
I was thinking to train a convnet to accurately classify pictures of moles as normal vs abnormal. The user can take a photo and upload it to a diagnostic website and get a diagnosis.
It doesn’t seem like an overly complex model to develop and there is plenty of data referring to photos that show normal vs abnormal moles.
I wonder why a product hasn’t been developed, where we are using image detection on our phones to actively screen for skin cancer. Seems like a no brainer.
My thinking is there are not enough deaths to motivate the work. Dying from melanoma is nasty.