AI Promised To Revolutionize Radiology but so far its Failing

AI Promised To Revolutionize Radiology but so far its Failing

AI will only get better, not worse, so it seems reasonable to suppose that in the not-too-distant future it will be useful, at the very least as aid to radiologists. A lot of work has to get into making any system be useful in practice, but there’s lots and lots of money in radiology so I’d think that someone could be put on the job of building a useful tool.

Here’s an analogy to a much simpler, but still not trivial, problem. Nearly twenty years ago some colleagues and I came up with improved analysis of serial dilution assays. The default software on these lab machines was using various seat-of-the-pants statistical methods that were really inefficient, averaging data inappropriately and declaring observations “below detection limit” when they were actually carrying useful information. We took the same statistical model that was used in that software and just fit it better.

 


Deploy this technology today


Next Article

  • AI Promised To Revolutionize Radiology but so far its Failing

    Tackling the Last Mile of an Innovation Project

    For a digital health startup looking to be deployed in a hospital, it can seem like finally landing that big hospital pilot is the culmination of months or years of effort. But hospitals and startups …

    Posted Jun 30, 2021

Did you find this useful?

Medigy Innovation Network

Connecting innovation decision makers to authoritative information, institutions, people and insights.

Medigy Logo

The latest News, Insights & Events

Medigy accurately delivers healthcare and technology information, news and insight from around the world.

The best products, services & solutions

Medigy surfaces the world's best crowdsourced health tech offerings with social interactions and peer reviews.


© 2024 Netspective Foundation, Inc. All Rights Reserved.

Built on Nov 15, 2024 at 12:42pm