for medical applications.
SADIE is CSD Lab’s artificial intelligence platform technology, and eMurmur ID is its first application. SADIE autonomously analyzes digital heart sound recordings, and is clinically validated to accurately detect and classify heart murmurs. It is robust against environmental noise and equipped to handle breathing sounds and crying. Using a few seconds of recording, SADIE accurately determines the positions of the heart sounds, distinguishes between systole and diastole and calculates the presence of a murmur and its type, timing and grading. SADIE has undergone significant clinical blinded testing which is continuously being published in medical journals and conferences.
SADIE takes the subjectivity and variability out of auscultation analysis, replacing it with objective, analytical clarity that removes examiner and patient uncertainty.