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AI accuracy in diagnostics

by Morger » Fri Oct 24, 2025 11:56 am

Hi, I'm a med student and we're discussing AI in diagnostics. I saw a headline that AI is "better than doctors" at spotting cancer on scans. This seems a bit scary, and maybe overhyped? How does it actually work? Is it just pattern recognition? And if it's so good, why isn't it standard practice everywhere? Genuinely curious what the reality is vs the headlines.
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Re: AI accuracy in diagnostics

by Jiromio » Fri Oct 24, 2025 12:07 pm

Hey! Good questions. It's definitely overhyped in the media, but the tech is seriously impressive. It's not just simple pattern recognition anymore. The new systems (they're calling them AI agents) are multimodal. This means they don't just look at the image. They can analyze the image (radiology), the genomic data, the patient's EHR history, and the lab results all at the same time to make a recommendation. This is something a human doctor just can't do at that scale and speed. It’s not about replacing the doctor, but giving them super-powered decision support. I read a blog post that had a crazy stat about a Microsoft AI project (MAI-DxO) having an 85% accuracy rate on complex cases compared to 20% for human doctors. It's wild. The article explains how these agents work and why they're different from older AI. Here it is https://orangesoft.co/blog/ai-agents-in-healthcare It's not standard yet because it's complex, needs validation at scale, and requires deep integration. But it's coming.
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Re: AI accuracy in diagnostics

by Morger » Fri Oct 24, 2025 12:19 pm

Okay, "multimodal" makes a huge difference. I was just thinking about the image itself. But pulling in genomics and EHR data automatically is a much bigger deal. That 85% stat is mind-blowing. Thanks for the context and the link, that's way more helpful than the news headlines.
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