Researchers have taken photographs of children’s retinas and screened them using a deep learning AI algorithm to diagnose autism with 100% accuracy. The findings support using AI as an objective screening tool for early diagnosis, especially when access to a specialist child psychiatrist is limited.
AI-screened eye pics diagnose childhood autism with 100% accuracy::undefined
It looks like the actual number of candidates were 958 and only 15% of that number were reserved for testing, the rest were used in AI training data. So in reality only 144 people were tested with the AI and there's no information from the article on how many people were formally diagnosed of this subset.
You can't just believe something because it's been peer-reviewed. It is an absolutely minimal requirement for credibility these days but the system does not work well at all.
In this case, the authors acknowledge the need for more studies to establish how generalisable their findings are. It's the first attempt at building a tool, it doesn't mean anything at all until the findings are reproduced by an independent group.
totally agree, peer reviewing is the bare minimum, but it IS a step above any old article published on a random website. also would like to acknowledge the limitations of this particular study. fair criticism and is something the authors brought up in their paper too.
my reply was in response to the original commenter mentioning that there was no link to the study at all.
JAMA Network Open is a pay-to-publish journal, but it's from a reputable publisher. There are a few other studies, albeit smaller, that came to similar conclusions (e.g., 95% AUC) and have been published in other journals. Autism is linked to a number of retinal abnormalities that can be detected from photographs. This could be a real thing.
They do point to where the model was making its decision based off of, which was the optical disc, which they go over in the discussion with multiple previous studies showing biological differences between ASD and TD development.
You know, in the peer reviewed paper linked at the bottom of OP's article on it.