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Eko Lands $2 2M NIH Grant to Train Pulmonary Hypertension AI

Eko s AI Algorithm Validated as a Clinical Tool for Detecting Heart Murmurs -

What You Should Know: –      Eko, a cardiopulmonary digital health company, today announced the peer-reviewed publication of a clinical study that found that the Eko artificial intelligence (AI) algorithm for detecting heart murmurs is accurate and reliable, with comparable performance to that of an expert cardiologist. – The findings suggest utility of the FDA-cleared Eko AI algorithm as a front line clinical tool to aid clinicians in screening for cardiac murmurs that may be caused by valvular heart disease. Clinical Study Findings/Results Algorithm performance for detecting murmurs was found to have sensitivity of 90.0% and specificity of 91.4%, when excluding grade 1 murmurs which are difficult to hear. The NIH-sponsored, multi site study published in the Journal of the American Heart Association was the largest study on AI analysis of cardiac murmurs. Study investigators included collaborators from Northwestern Memorial Hospital, University of California San Fra

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