Engineers and physicians have developed a wearable ultrasound device that can assess both the structure and function of the human heart. “A deep learning model automatically segments the shape of the left ventricle from the continuous image recording, extracting its volume frame-by-frame and yielding waveforms to measure stroke volume, cardiac output and ejection fraction,” said Mohan Li, a master’s student in the Xu group at UC San Diego. Corey, Department of Anesthesiology, Sharp Memorial Hospital; Joseph Wang, Department of Nanoengineering and Materials Science and Engineering Program, UC San Diego, and Sheng Xu, Department of Nanoengineering, Department of Electrical and Computer Engineering, Materials Science and Engineering Program and Department of Bioengineering, UC San Diego; Department of Radiology, School of Medicine, UC San Diego; and Softsonics, Inc