
Data presented at the 2023 American Heart Association Scientific Sessions highlighted Sensora’s ability to quickly and accurately detect structural murmurs associated with valvular heart disease.
The study evaluated the performance of an Eko digital stethoscope paired with the company’s AI-based structural murmur detection algorithm. It pitted the Eko technology against the standard auscultation with an analog stethoscope in the primary care setting. The study evaluated 369 patients and continues enrolling with plans to collect up to 12 months of follow-up data.
Eko said in a news release that the study showed better than two times improvement with AI in detecting VHD associated with murmur sensitivity. The AI method performed at 94.1% sensitivity and 84.5% specificity. The standard method produced 41.2% sensitivity and 95.5% specificity.
According to Eko, the overall results indicated underdetection across the board with the standard method. Meanwhile, the AI method identified 22 previously undiagnosed patients with moderate or greater VHD. Eko said the results suggest that its technology could significantly increase earlier VHD discovery. It could then facilitate the appropriate care and improve outcomes for patients.
“These results mark a significant step forward in utilizing AI-powered sensors for upstream cardiovascular disease detection,” said Connor Landgraf, co-founder & CEO of Eko Health. “With over 40 clinical validation and real-world studies initiated, we pride ourselves in developing clinically useful tools that assist clinicians with giving their patients the best care possible.”