Philips Introduces Two New AI Applications for Cardiovascular Ultrasound

Philips Introduces AI Applications for Cardiovascular Ultrasound Analysis

Philips, a leader in healthcare technology, has unveiled two groundbreaking AI applications for cardiovascular ultrasound that are set to revolutionize the way clinicians identify and analyze disease. These FDA-cleared applications are designed to streamline the diagnostic process, providing faster and more consistent results for patients.

The first application is an automated tool for segmental wall motion scoring of the heart, which helps identify coronary artery disease. The second application performs automated 3D quantification of mitral regurgitation volumes for patients with heart valve disease. Both tools not only identify key issues but also select the best images from the exam for quantification, ultimately supporting clinical decision-making.

These innovative applications are integrated into Philips’ EPIQ CVx and Affiniti CVx ultrasound systems, making them easily accessible for healthcare providers. With patient volumes on the rise and staffing shortages becoming more prevalent, these AI applications come at a crucial time for the healthcare industry.

David Handler, vice president and business leader for Global Cardiovascular Ultrasound at Philips, emphasized the importance of automation in easing the burden on echo labs. By automating manual measurements and reducing variability among clinicians, these AI applications can lead to shorter procedures, fewer re-scans, and potentially faster recovery times for patients.

Dr. Roberto Lang, director of the Noninvasive Cardiac Imaging Lab at University of Chicago Medicine, will be presenting a new scientific abstract on the use of Philips technology at the upcoming American Society of Echocardiography annual meeting. This abstract focuses on the detection of regional wall motion abnormalities, a key indicator of adverse cardiovascular events.

The technology behind these applications builds on the expertise of DiA Imaging Analysis, a company specializing in AI-powered software for ultrasound imaging analysis that Philips acquired last year. By integrating this technology into their workflow, Philips aims to make AI adoption easier for clinicians and ultimately improve patient outcomes.

As healthcare technology continues to advance, Philips is at the forefront of innovation in cardiovascular ultrasound. By leveraging AI to automate and streamline the diagnostic process, clinicians can provide more efficient and accurate care for patients with cardiovascular diseases.

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