AI Replacing Radiologists

The cluster debates whether AI can outperform, replace, or effectively assist radiologists in interpreting medical images like X-rays, MRIs, and ultrasounds, contrasting AI's pattern-matching strengths with human needs for clinical context, patient history, and avoiding errors like hallucinations.

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e.g DICOM JPEG2000 NLST PLCO POCUS AI JPEG HN CMUT images imaging diagnosis image medical clinical mri patient ct scan

Sample Comments

rowanG077 Jul 31, 2024 View on HN

I disagree. Hasn't it been shown that AI outperform radiologists on recognizing diseases from images?

visarga Oct 2, 2024 View on HN

We really can't, it's a tool not a radiologist. Medicine is a critical field, can't afford hallucinations and sloppiness

TechDebtDevin Jun 6, 2024 View on HN

I don't have exact domain knowledge but I'm fairly certain this type of tech has already been employed to do some of the heavy lifting for radiologists reviewing imaging results.

rscho Sep 10, 2024 View on HN

Even if this worked as well as a human radiologist, diagnosis is not only made of radiology. That's why radiology is a support specialty. Other specialists incorporate radiology exams into their own assessment to decide on a treatment plan. So in the end, I don't think it'll change as much as you'd think, even if freely accessible.

theoneone Mar 28, 2017 View on HN

Believe me it's not the same, especially at ultrasound where everything it's not clear due external factors an body types. I do this for a living (radiologist)plus I love programming and would like to see those two come together but the reality is different. Ai could assist doctors and suggest possible findings.

whatevaa May 13, 2024 View on HN

You need a specialist to understand an MRI image. Maybe software will advance enough to change this, but it will be a slow progress. Also, carterls are definitely a thing. Radiologists will fight the software part.

kspacewalk2 Jun 7, 2021 View on HN

Radiologists most definitely are trying. Our institute's entire medical imaging research arm is driven by several very motivated practicing radiologists. You just misunderstand what it is that they do, fundamentally. Diddling with some pics and publishing papers is just not in the same league as making medical diagnoses. A lot is riding on their understanding every little artifact of the algorithm/approach that gives them a modified image to interpret. They will never accept black-box

Mikhail_K May 20, 2022 View on HN

I don't understand why this comment is downvoted. Automated screening of radiological images by means of neural net is an extensively researched topic. Ten years ago there had been predictions that such automated screening will displace the radiologists, but that clearly did not happen.For instance, this article is silent on false positive/false negative rates of the software. There is no comparison with other research. It reads like a corporate press release promoting a product.

rscho Jun 8, 2021 View on HN

Trivial radiology is pattern matching. Radiology for which you need a radiologist for is not. Yes, you could replace part of radiology and some radiologists with algorithms today. Unfortunately, those are also mostly the cases where we don't need radiologists.I'm sorry, but in many cases and even many important diagnoses that impact the patient, 2 radiologists that aren't allowed to communicate will sometimes reach widely different conclusions. Additionally, if you've inte

paulrademacher Jan 14, 2015 View on HN

Redundant/distributed/crowd-sourced diagnoses? Instead of a single radiologist, fan it out to many.