I had a misread X-ray once, and I can see how a machine could be better at spotting patterns than a tired technician, so I'm favorable too. I think I'd like a human to at least take a glance at it, though.
The mistake on mine was caught when a radiologist checked over the work of the weekend X-ray technician who missed a hairline crack. A second look is always good, and having one look be machine and the other human might be the best combo.
Unfortunately what's likely to happen in our current society and medical system is:
1. Instead of being expected to read N x-rays per hour/day/whatever, radiologists will soon be able expected review 3N or 4N AI diagnoses in the same time.
2. With far less time to spend on each case and an AI that is right most of the time (but imperfect) humans won't be great at catching AI mistakes, even if they're trying.
3. Pay and prestige for radiologists will drop, leading to a lack of quality people entering the field, exacerbating the problems in #2.
4. Eventually administrators and/or politicians will decide that (using made up numbers) very cheap AI-only review with 90% accuracy is "good enough", even though the more expensive AI+human combo can yield 93% accuracy or very expensive human-only review can yield 97% accuracy.
> A second look is always good, and having one look be machine and the other human might be the best combo
For now I agree.
2-4 years from now it can be 20 ultra strong models each trained somewhat differently that converse on the X-ray and reach a conclusion. I don't think technicians will have much to add to the accuracy.
The mistake on mine was caught when a radiologist checked over the work of the weekend X-ray technician who missed a hairline crack. A second look is always good, and having one look be machine and the other human might be the best combo.