eMurmur Artificial Intelligence
As part of any routine physical exam, a healthcare provider will listen to a patients’ heart with a stethoscope. This procedure – cardiac auscultation – is a 200+ year old method to screen for heart defects, and requires the examining provider to have acute hearing and extensive experience.
Traditional cardiac auscultation relies 100% on the subjective interpretation of heart sounds by the examiner.
An accurate diagnosis remains challenging for reasons including faint heart sounds, noise, breathing, high heart rates, and having to distinguish innocent from pathological murmurs.
eMurmur AI puts expert level heart murmur detection capabilities into the hands of primary care providers.
eMurmur AI can be utilized by anyone trained in auscultation, does not require specialty training for use, and eliminates the need of excellent hearing and interpretation of heart sounds by the provider. Within seconds, the algorithms detect the presence of a murmur in a heart sound recording, and determine if it is innocent or pathological with expert-level accuracy.
