"First, by assessing ECG directly, we confirm that with AI it is possible to accurately detect CHF looking beyond heart rate variability analysis. Thus, we have in general results that are more adherent to the real behavior of the affected heart.”
In another part of the experiment, a specific CNN model was used to improve the accuracy of CHF detection while taking into account comparable models. “We focus on the detection of the pathology from one single heartbeat in excerpts of 5-minutes rather than in 24-hours recordings,” said“This aspect offers a valuable potential for prospects of rapid interventions; nonetheless it is also important to keep in mind that we are talking about severe CHF patients only at the moment.
He added: “The application of organizational neuroscience, and specifically of neural network approaches to healthcare issues promises to open breakthrough frontiers for both clinical research and practice.”
LongmireMD Zero insights into analytical methodology in this article. At most an interesting technical success, but not a clinical one. Publish he manuscript, please.
nicholasgfearn Interesting, considering this was a retrospective study would be more practical with a cohort of in vivo patients.
Artificial intelligence detects heart failure from just one heartbeat. 😍😀❤️
We’re so lucky on nowadays we’ve got an insane amount of medical upgrades and innovation which could save our lives, thanks to everyone who works on it. I’m so grateful your work is changing and shaping our future.👏🏼👌🏼💪🏼🙏🏼
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