[Skip to Content]
[Skip to Content Landing]

Machine Learning–Guided Echocardiogram Image Acquisition—Sample Echocardiography Study

Novel software, developed using deep-learning technology and recently authorized by the US Food and Drug Administration, can provide real-time prescriptive guidance to novice operators about how to obtain transthoracic echocardiographic (TTE) images that allow for limited diagnostic assessment of cardiac chambers. This video illustrates a nurse-obtained clip demonstrating diagnostic-quality long-axis views; short-axis aortic and mitral valve and papillary muscle views; and apical 2-, 3-, 4-, and 5-chamber, subcostal 4-chamber, and inferior vena cava views. A study of the technology concluded that untrained nurses could obtain images sufficient for trained echocardiographers to evaluate left ventricular (LV) size and function, right ventricular (RV) size, and presence vs absence of pericardial effusion. If the software utility and accuracy is confirmed across studies and users, it could make echocardiography more accessible outside of specialty offices and centers. Click the Related Article link for complete details.

JN Learning™ is the home for CME and MOC from the JAMA Network. Search by specialty or US state and earn AMA PRA Category 1 Credit(s)™ from articles, audio, Clinical Challenges and more. Learn more about CME/MOC

Close
With a personal account, you can:
  • Access free activities and track your credits
  • Personalize content alerts
  • Customize your interests
  • Fully personalize your learning experience
Education Center Collection Sign In Modal Right
Close

Name Your Search

Save Search
With a personal account, you can:
  • Access free activities and track your credits
  • Personalize content alerts
  • Customize your interests
  • Fully personalize your learning experience
Close
Close

Lookup An Activity

or

My Saved Searches

You currently have no searches saved.

Close

My Saved Courses

You currently have no courses saved.

Close