[sciclaw]

I'm happy someone made a comment like this.

I work an an AI company where we screen for Diabetic Retinopathy. The company is a decade old, and has validated in huge studies (over 100k patients). It's a hard problem that we have all worked very hard to solve it. At the same time, it's easy to build an AI tool that looks at an image and says healthy or unheathly (or poor quality image). So the bar is low for making something that is appears functional.

But hardly anyone makes good AI tools, so studies that look at different AIs systems see lots of the bad ones. It's always a bummer when the headlines are all dismissive of AI in general. Googling "diabetic retinopathy AI" the top result is "Artificial Intelligence Falls Short in Detecting Diabetic Eye Disease" (https://healthitanalytics.com/news/artificial-intelligence-f...), yet if you read the article it says one tool is better than humans, which to me, is the real takeaway.