alt Hacker NewsIt's even worse with some physicians. When I got an MRI a year or two ago, getting an AI diagnosis cost extra. I am very positive about AI, but I can understand why people would be hesitant to pay extra when they hear about false positives and the unreliability of AI.
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Always ask for your imaging data. I have never been denied it. Then take that and run it through your own analysis. Years ago I had some lab work done looking for a specific genetic marker that could explain something. While that was running I took my 23andme genome and cross referenced it with snpedia and had my answer (didn't have the marker) before my doctor did. She was blown away. This was 10 years ago. I'm guessing things have improved quite a bit.
Are there even any FDA labeled AI diagnostics for MRI? Just about everything I've seen is more things that are meant to help radiologists do things faster (and it's rather debatable whether they ultimately achieve that). The things I've seen gaining traction are very specific measurements (that are not themselves diagnostic) or things that improve workflow.
Yep one imaging center in LA is charging $45 out of pocket for the AI diagnosis.
Setting aside the unreliability of AI, healthcare is already expensive and confusing. It's hard to know what's covered or not ahead of time and it sucks to feel nickel and dimed on something that is already so expensive, especially when you consider we are not trained medical professionals, so we can't really have an informed opinion on what this is really worth...
Additionally, BCBS reports that hospitals are using AI to find ways to charge more money: https://www.bcbs.com/about-us/association-news/bcbsa-analysi...
> New analysis from the Blue Cross Blue Shield Association (BCBSA) finds that hospital systems are increasingly billing patient hospital stays as more medically complex, driving nearly $1 billion in additional healthcare costs in just two years. [...]
> More than 60% of hospital systems are now using AI-enabled technologies that can scan lab results and electronic records to identify secondary diagnoses, which could move a patient into a higher-severity, higher-reimbursement billing category.