Some radiologists think that AI will be really good for filtering out normal images, so that they only have to review anomalies. But I don't think that a model that detects diseases will be too successful, even if they manage to make it really work.
For one, it's actually difficult to interpret and find signs in radiologic images. Obvious signs are obvious, but there are others that could be image artifacts, or just indolent variations, or point to something serious. Even with a generally good accuracy, it'll be hard that a general model performs well on those anomalies with low prevalence.
Second, radiologic signs are just signs. Most diseases are diagnosed with more than just radiologic signs. Most signs are compatible with a lot of diseases. If you see a model that pretends to diagnose a certain disease, well, they're looking at it wrong.
Third, you need a way to have responsibility for diagnoses, and a way to find and correct errors. I don't think that's possible with an unsupervised AI, you'll always need a doctor there to check the image and verify the output. There won't be much savings there. Whenever someone says "AI is going to revolutionize medicine", it's really hard to believe them. I mean, you just have to look at EKGs, modern machines can detect anomalies but doctors still learn how to interpret EKGs and double check what the machine says. It's a help, but not a replacement.
For one, it's actually difficult to interpret and find signs in radiologic images. Obvious signs are obvious, but there are others that could be image artifacts, or just indolent variations, or point to something serious. Even with a generally good accuracy, it'll be hard that a general model performs well on those anomalies with low prevalence.
Second, radiologic signs are just signs. Most diseases are diagnosed with more than just radiologic signs. Most signs are compatible with a lot of diseases. If you see a model that pretends to diagnose a certain disease, well, they're looking at it wrong.
Third, you need a way to have responsibility for diagnoses, and a way to find and correct errors. I don't think that's possible with an unsupervised AI, you'll always need a doctor there to check the image and verify the output. There won't be much savings there. Whenever someone says "AI is going to revolutionize medicine", it's really hard to believe them. I mean, you just have to look at EKGs, modern machines can detect anomalies but doctors still learn how to interpret EKGs and double check what the machine says. It's a help, but not a replacement.