Machine learning much faster than humans at reading heart images

Automated AI analysis of cardiac magnetic resonance images can be just as accurate as trained clinicians--but 186 times faster. Researchers say the technique can improve evaluations and reduce inconsistencies in interpretation. Cardiovascular MRI is the reference standard to assess the structure and function of a heart's left ventricle, a key imaging biomarker used for clinical decision making and as a clinical trial outcome measure. However, clinical analysis of these MRIs is significantly variable. The analysis is often not standardized, and there are avoidable inconsistencies when using human interpreters, such as noise or bias.