We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Philips Healthcare

Operates in Diagnostic Imaging Systems, Patient Care and Clinical Informatics, Customer Services, and Home Healthcare... read more Featured Products: More products

Download Mobile App

AI-Integrated Cardiac Ultrasound to Improve Clinical Confidence and Efficiency

By MedImaging International staff writers
Posted on 25 Aug 2023
Print article
Image: The 5500CV compact ultrasound system offers full functionality and first-scan answers (Photo courtesy of Royal Philips)
Image: The 5500CV compact ultrasound system offers full functionality and first-scan answers (Photo courtesy of Royal Philips)

Ultrasound is among the most widely utilized imaging techniques, frequently serving as the primary diagnostic approach for cardiac patients. The demand for operators facing heavy workloads and increasingly complex cases remains a persistent challenge for healthcare systems globally. The integration of artificial intelligence (AI) into cardiac ultrasound and broader cardiac care has the potential to enhance clinical confidence and streamline efficiency.

Royal Philips (Amsterdam, the Netherlands) has introduced the 5500 CV portable ultrasound compact system, featuring an AI-driven automation tool (automated strain quantification) designed to evaluate the functioning of the heart's left ventricle—an essential marker of heart health. Philips has integrated AI-powered technology across its cardiac ultrasound offerings, encompassing comprehensive 3D quantification and modeling of the heart, automated 2D Doppler and length measurements, reproducible 2D strain quantification, and dynamic analysis of the mitral valve. The company has now integrated AI-powered automated analysis and reporting.

The Philips 5500CV ultrasound compact system offers full functionality and first-scan answers to users, regardless of their location. The reliable and robust system boasts a host of features, range of diagnostic solutions, enhanced cleanability, wireless connectivity, and reporting capabilities. It permits more bedside examinations, enhancing the quality of care and simplifying clinical decision-making. Furthermore, it provides the mobility required by clinicians to tend to a higher volume of patients throughout the day. Its compact size, combined with long battery life, facilitates high-quality scans in diverse environments, be it a spacious area or a confined space. While each of Philips' solutions contributes to addressing the daily challenges in cardiology, their collective synergy forms a powerful ecosystem empowering clinicians to achieve better cardiac care along with enhanced efficiency.

“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 more on caring for their patients.”

Related Links:
Royal Philips 

Gold Supplier
IMRT Thorax Phantom
CIRS Model 002LFC
Gold Supplier
Conductive Gel
Gold Supplier
128 Slice CT Scanner
Supria 128
CT System
Aquilion Lightning 80

Print article
Sun Nuclear -    Mirion



view channel
Image: The AI model improves tumor removal accuracy during breast cancer surgery (Photo courtesy of UNC School of Medicine)

AI Model Analyzes Tumors Removed Surgically in Real-Time

During breast cancer surgery, the surgeon removes the tumor, also known as a specimen, along with a bit of the adjacent healthy tissue to ensure all cancerous cells are excised. This specimen is then X-rayed... Read more


view channel
Image: MRI screen-detected breast cancers have been found to be most often invasive cancers (Photo courtesy of 123RF)

MRI Screen-Detected Breast Cancers Are Mostly Invasive

Annual breast MRI screening is advised for patients with a lifetime breast cancer risk exceeding 20%. There exists robust data about the features of mammographic screen-detected breast cancers, although... Read more

Nuclear Medicine

view channel
Image: An AI model can evaluate brain tumors on PET (Photo courtesy of Freepik)

AI Model for PET Imaging Determines Patient Response to Brain Tumor Treatments

The assessment of changes in metabolic tumor volume (MTV) through PET scans using specific radiotracers like F-18 fluoroethyl tyrosine (FET) plays a vital role in evaluating the treatment response in patients... Read more

General/Advanced Imaging

view channel
Image: Annalise Enterprise CTB acts like a ‘second pair of eyes’ for radiologists (Photo courtesy of Annalise.ai)

Deep Learning System Boosts Radiologist Accuracy and Speed for Head CTs

Non-contrast computed tomography of the brain (NCCTB) is a commonly employed method for identifying intracranial pathology. Despite its frequent use, the complex scan outcomes are prone to being misunderstood.... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2023 Globetech Media. All rights reserved.