One of the biggest issues in echocardiography is the inconsistency between how sonographers scan patients and make measurements. However, AI might be able to help overcome this variable and make cardiac ultrasound quantification more consistent. This is especially true for novice sonographers using point-of-care ultrasound (POCUS), where AI is being commercialised.

Cardiology is the speciality with the second largest grouping of U.S. Food and Drug Administration (FDA) cleared artificial intelligence (AI) applications, trailing only radiology. A sizeable number of these cardiology-focused AI algorithms are for cardiac ultrasound, and that number is growing.

Source: Ultrasound is the most widely used cardiac imaging modality, we have been able to observe several advances in recent years that are making echocardiography more accessible, accurate and efficient. Advances in computer processing have also made a quantum jump in the past decade, allowing more of the data collected by ultrasound to be processed and presented in a...

Adding focused cardiac ultrasonography to clinical assessment of the cardiovascular health of patients at bedside improves diagnostic yield. By Kate Madden Yee, AuntMinnie.com staff writer