Why AI isn't replacing radiologists: models underperform in hospital settings, AI use faces legal hurdles, and the job is much more than image recognition
For years, radiology has been the go-to example in conversations about AI and professional obsolescence. … Bluesky: Eric Knutson / @alwayscorrect : I think they are using predictive AI for that, not LLMs. From what I heard years ago, I thought that was actually helping a lot. But maybe the criteria for it “working” is when they can fire all the radiologists @nanlinear : it was never about ‘replacing’ radiologists, they don't just read, they are skilled in imaging as well... ...it is another layer of checks that would minimise chance of misdiagnosis considering the high stakes! Mastodon: Miguel Afonso Caetano / @remixtures@tldr.nettime.org : “Radiology is a field optimized for human replacement, where digital inputs, pattern recognition tasks, and clear benchmarks predominate. In 2016, Geoffrey Hinton - computer scientist and Turing Award winner - declared that ‘people should stop training radiologists now’. … Forums: Hacker News : Demand for human radiologists is at an all-time high r/BetterOffline : AI isn't replacing radiologists Msmash / Slashdot : AI Isn't Replacing Radiologists
I spend a lot of time w/ cos adopting AI. By and large, AI isn't “taking jobs.” Every job is a collection of tasks - many of which AI can't do now (and may never do!) AI frees humans to do tasks where they're needed.
paradoxically, coding LLMs have increased the amount of work that i have. every new release, the opportunity cost of my time goes up. the work i did in the past month would simply have not been worth doing without coding assistance
The reason that AI isn't going to wipe out jobs in the way that some predict is that we consistently make the mistake of thinking that when we make something more efficient, you need commensurately less supply. It turns out that in a significant number of fields, better [image]
AI economists and AI researchers: this is *excellent*. Details below, but as I feel like I've said in every talk on this topic since my slides said “GPT-2”, 1) AI technical capabilities are better and improving quicker than you think, 2) impact on economy *much* slower. 1/13 [ima…
In 2016 Geoffrey Hinton said “we should stop training radiologists now” since AI would soon be better at their jobs. He was right: models have outperformed radiologists on benchmarks for ~a decade. Yet radiology jobs are at record highs, with an average salary of $520k. Why? [ima…
“AI isn't replacing radiologists” good article Expectation: rapid progress in image recognition AI will delete radiology jobs (e.g. as famously predicted by Geoff Hinton now almost a decade ago). Reality: radiology is doing great and is growing. There are a lot of imo naive
I think they are using predictive AI for that, not LLMs. From what I heard years ago, I thought that was actually helping a lot. But maybe the criteria for it “working” is when they can fire all the radiologists
it was never about ‘replacing’ radiologists, they don't just read, they are skilled in imaging as well... ...it is another layer of checks that would minimise chance of misdiagnosis considering the high stakes!