I used to think that the benefit of using AI in medicine, specifically radiology, was plausible… There is SO much data in a CT scan or MRI that human eyes just can’t see, you lose soo much granularity converting a 3D scan to a 2D image on a screen so some bloodshot doctor can look at it…
AI should, in theory, be able to read a scan and find pinprick tumors or irregularities and at least tell the doctors where to look…
But now, watching LLM’s do their thing, I’m now convinced that there isn’t an AI around that is worth it’s weight in horse-shit.
Luckily it isn’t LLMs doing those tasks
Analytical AI is much more useful than generative AI and even if it were LLMs doing the work, with a doctor checking it can be very beneficial
And if they do misdiagnose one in five patients, well, they shouldn’t have gotten infected, it’s their fault.
That’s why you do everything with human review, I said that in my comment, come on now
Where AI could be useful, it needs significant investment, if paired with resources it can look for patterns in scans.
However the process an AI uses to make a decision is similar to encoding of an image, so I wonder how it compares in terms of resolution to high resolution pictures produced by MRIs
Yeah, I think it should never be involved in decision-making… Pointing out a place for doctors to explore maybe…actually diagnosing? no.
Which kind of AI? I certainly hope not LLMs.
Probably the same type of image recognition that volunteers have been training for years on data sets ranging from exoplanets to tumor cells.
The kind that has the side effect of making those doctors worse at their jobs
It says it in the article, it just takes some data from the patients chart and calculates a score for the person’s risk of getting an infection.
It says it in the article, it just takes some data from the patients chart and calculates a score for the person’s risk of getting an infection.
