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Philips presents its new portable Ultrasound Compact System 5500 CV to improve clinical confidence and efficiency in cardiac care at the annual meeting of the European Society of Cardiology (ESC), which is currently unfolding in Amsterdam, the Netherlands. 

The solution includes an AI-powered automation tool – the automated strain quantification – to assess the function of the heart’s left ventricle, a key indicator of heart health.

“The demands on cardiology departments have never been higher, driving clinicians to balance the delivery of high-quality care for a growing volume of complex patients with pressures to improve departmental efficiency,” said Bert van Meurs, Executive Vice President and Chief Business Leader of Image Guided Therapy and Precision Diagnosis at Philips. “From helping sonographers acquire the right image and analyze it in the right way, to cutting the assessment time for cardiac MR and CT images, we’re integrating AI across our portfolio to help clinicians make sense of all the information available to them so that they can focus on caring for their patients.”

Integrating AI in cardiac ultrasound

Ultrasound is one of the most widely used imaging modalities as the first line of diagnosis for cardiac patients. The shortage of operators dealing with heavy workloads and growing numbers of complex cases continue to challenge healthcare systems worldwide. 

Using AI to help streamline workflows and enhance diagnostic confidence is core to Philips’ cardiac ultrasound technology. Around 430 million diagnostic and interventional cardiology procedures are carried out on Philips’ ultrasound systems each year, supporting the diagnosis and treatment of more than 240 million patients annually. 

Philips has integrated AI-powered technology across its cardiac ultrasound portfolio, including fully automated 2D Doppler and length measurements, reproducible 2D strain quantification and full 3D quantification for the left ventricle, left atrium and right ventricle and right atrium, and dynamic analysis of the mitral valve. The company is now integrating AI-powered automated analysis and reporting.  

Integrating AI across cardiac care

Philips’ solutions can help solve cardiology’s daily challenges and create a powerful ecosystem that helps clinicians achieve better heart care with greater efficiency. At ESC, Philips will also highlight its Advanced Visualization Workspace, which integrates AI-enabled algorithms and workflows into a single workspace. The integration of Cardiac MR and CT on Philips Advanced Visualization Workspace has lowered overall analysis time by 20% – 30% [1].

Philips monitors 1.2 million patients every year, with 4 billion heartbeat data transmissions daily [2]. Philips cardiology management solutions include remote cardiac monitoring innovations from Philips ECG Solutions, a leading AI-powered remote ambulatory cardiac monitoring provider, to better manage heart patients by extending physicians’ diagnostics and cardiac monitoring from home to hospital – and hospital to home.

[1] Dr. Gaby Weissman, MD MedStar Washington Hospital Center, Washington, D.C., USA

[2] Data on file