An artificial intelligence model from the Mayo Clinic detected abnormalities on scans up to three years before patients were diagnosed. It's being evaluated in a clinical trial.
Radiologist used computer aids almost as long as they’ve read digital scans, including various iterations of machine learning based ones.
This is huge, but “outperforming” is a misleading title. In practice, this this would be tool on a radiologist’s monitor. As they’re flipping through scans, it would flag this with a blinking notification, prompt them to squint at the spot, and likely confirm its warning (like existing tools already do in, say, highly detailed breast cancer scans).
And that’s what machine learning should be. Continuously finetuned, laser-focused tools that are uncannily good at their specific job, checked by humans (so the job is faster and less tedious).
“Replacements” only in the sense that maybe you need fewer radiologists.
And don’t let literal sociopaths in the tech world tell you otherwise.
Radiologist used computer aids almost as long as they’ve read digital scans, including various iterations of machine learning based ones.
This is huge, but “outperforming” is a misleading title. In practice, this this would be tool on a radiologist’s monitor. As they’re flipping through scans, it would flag this with a blinking notification, prompt them to squint at the spot, and likely confirm its warning (like existing tools already do in, say, highly detailed breast cancer scans).
And that’s what machine learning should be. Continuously finetuned, laser-focused tools that are uncannily good at their specific job, checked by humans (so the job is faster and less tedious).
“Replacements” only in the sense that maybe you need fewer radiologists.
And don’t let literal sociopaths in the tech world tell you otherwise.