Skimmed through the article and I found it surprisingly difficult to pinpoint what "AI" solution they actually covered, despite going as far as opening the supplementary data of the research they mentioned. Maybe I'm missing something obvious so please do share.
AFAICT they are talking about using computer vision techniques to highlight potential problems in addition to bringing the non annotated image.
This... is great! But I'd argue this is NOT what "AI" at the moment is hyped about. What I mean is that computer vision and statistics have been used, in medicine and elsewhere, with great success and I don't see why it wouldn't be applied. Rather I would argue the hype at he moment in AI is about LLM and generative AI. AFAICT (but again had a hard time parsing through this paper to get anything actually specific) none of that is using it.
FWIW I did specific in my post tht my criticism was about "modern" AI, not AI as a field in general.