News for hackers. Stuff that matters.

A comment on Machine learning is booming in medicine, but also facing a credibility crisis. Parent comment

Re:Machine learning is booming in medicine, but also facing ... by rscho on Tuesday June 08, 2021 @05:54AM (#27432359)
> modern machines can detect anomalies but doctors still learn how to interpret EKGs and double check what the machine says.

Uh, TBH no professional so much as glances through the automated EKG summary. It's utterly useless and could be deleted with zero consequences.

[ Parent | on HN ]
Re:Machine learning is booming in medicine, but also facing ... by Enginerrrd on Tuesday June 08, 2021 @09:05AM (#27434609)
I've seen a lot of ECG results, and I always did my own interpretation, but I always found the machine to be accurate, which is unsurprising since distinguishing rhythms is very codified anyway. My only issue with the machine is that it's not really doing something difficult that needs doing. You still need someone that understands how to read ECG's and make decisions about patient management based on past and present conditions. That is the hard part.

I'm curious though. Can you elaborate on the types of issues you have encountered? What brand of equipment were you using?

[ Parent | on HN ]
Re:Machine learning is booming in medicine, but also facing ... by rubatuga on Wednesday June 09, 2021 @05:51AM (#27446106)
It's actually improved a lot in the past few years with CNNs being used: https://stanfordmlgroup.github.io/projects/ecg/

No chance that a dinky ECG from 10 years ago is running a neural net inside.

[ Parent | on HN ]