Led by researchers at the Universities of Surrey, Warwick and Florence, new research shows that AI can quickly and accurately identify CHF by analyzing just one electrocardiogram (ECG) heartbeat.
"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.”
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