A study by researchers from Mayo Clinic published this week in the Journal of the American College of Cardiology found that an artificial intelligence algorithm was able to detect hypertrophic cardiomyopathy, commonly known as HCM, from EKG results with impressive accuracy, particularly among younger patients.
In order to “teach” the computer, the researchers used digital 12-lead ECGs from 2,448 patients with HCM along with 51,153 age- and sex-matched controls. The technology was then tested on 612 HCM patients and 12,788 controls.
The findings showed that the technology was able to identify HCM in a high number of cases, even where the EKG appeared “normal” to the human eye.
The researchers believe that this technology, when refined, may prove to be an efficient tool for HCM screening in the future. The team plans to continue testing the technology in greater subject samples in order to further refine its performance.
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