Artificial Intelligence and Echocardiography: A Primer for Cardiac Sonographers

Area of Science:

• Cardiology
• Medical Imaging
• Artificial Intelligence

Background:

• Artificial intelligence (AI) is increasingly integrated into diagnostic medical imaging.
• Deep learning, a subset of AI, is being applied to echocardiography for automated tasks.
• The growing use of AI in echocardiography raises questions and potential concerns for cardiac sonographers.

Purpose of the Study:

• To define artificial intelligence and explain its fundamental principles.
• To identify current applications of AI in echocardiography.
• To explore the potential benefits of AI in improving patient care from a sonographer's viewpoint.

Main Methods:

• Literature review and synthesis of AI concepts and applications in echocardiography.
• Analysis of AI's role in automated view labeling, measurements, and interpretation.
• Perspective-based discussion on AI's impact on cardiac sonography.

Main Results:

• AI, particularly deep learning, is already utilized for automated echocardiographic analysis.
• AI applications in echocardiography include view labeling, measurements, and interpretation.
• The integration of AI has the potential to significantly improve diagnostic accuracy and efficiency.

Conclusions:

• AI is a significant emerging tool in diagnostic medical imaging, especially echocardiography.
• Understanding AI's capabilities and limitations is crucial for cardiac sonographers.
• AI holds promise for enhancing patient care through advanced echocardiographic analysis.