Platform Validated for Cardiac Ultrasounds

artificial intelligence AI point of care ultrasound

AI-Guidance For Cardiac Ultrasound

As demonstrated in a study published in JAMA Cardiology, ultrasound images captured by nurses without prior ultrasound experience and reviewed by experienced cardiologists were shown to be of diagnostic quality to assess left ventricular size and function in 98.8% of patients, right ventricular size in 92.5% of patients, and in 98.8% of patients for the presence of pericardial effusion. 

artificial intelligence AI point of care ultrasound ejection fraction EF

Calculate Ejection Fraction Automatically

A paper published in Circulation: Cardiovascular Imaging showed the Caption Health algorithm was used to automatically estimate left ventricular ejection fraction (LVEF) from the captured apical-4-chamber (AP4), apical-2-chamber (AP2), and parasternal-long-axis (PLAX) loops.

Looking At The Lung

An exciting $4.95 million grant from the Bill & Melinda Gates Foundation is supporting the development of lung ultrasound guidance and interpretation through the Caption AI platform. Democratizing lung ultrasounds would help improve access in resource-limited settings with a shortage of highly trained clinicians and X-ray equipment, which could improve timely access to accurate diagnosis of pneumonia, pulmonary edema, and pneumothorax.