We are building a stethoscope with artificial intelligence that can drastically improve the accuracy of murmur detection and thus reduce the number of misdiagnoses. An early version of our software won an award at the Computing in Cardiology Conference 2016 (paper). It has since been improved, achieving a false positive rate of 2% and a false negative rate of 5% (Patent pending).