- New FDA-cleared AI-enabled applications include the industry’s first automated tool for segmental wall motion scoring of the heart to quickly and objectively identify disorders including coronary artery disease and cardio-oncology issues in seconds
- First fully automated 3D quantification of mitral regurgitation (MR) volumes* designed to provide reproducible, efficient analysis helps clinicians make better-informed decisions for patients with heart valve disease
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Heart failure is a rapidly growing health issue that affects an estimated 64 million people worldwide [1]. It's also associated with high mortality and poor quality of life, and is a substantial burden on healthcare systems globally [2]. As the most common and least invasive way to check the structure and function of the heart, cardiovascular ultrasound has played a key role in diagnosing cardiac disease earlier.
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“As clinical cases get more complex and patient volumes increase, we read hundreds of echocardiography exams daily with thousands of data points,” said Roberto Lang, MD, Director of the Noninvasive Cardiac Imaging Lab, University of Chicago Medicine, USA. “With the integration of AI into echocardiography solutions, we can now automate some of the steps to support clinicians' decision-making, allowing them to detect, diagnose, and monitor various cardiac conditions with greater confidence and efficiency in seconds.”
Dr. Lang will join other clinicians to share the results of a new scientific abstract being presented at the American Society of Echocardiography (ASE2024) annual meeting (June 14 – 16, Portland, US), demonstrating how first-of-kind AI algorithms co-developed with Philips provide highly accurate detection of regional wall motion abnormalities (RWMA) on echocardiography. RWMAs can be an independent indicator of adverse cardiovascular events and death in patients with cardiovascular diseases like myocardial infarction (MI) and congenital heart disease. Automated machine learning-based assessment of RWMA has the potential to improve the efficiency of all readers. “An advantage of AI methods over conventional visual analysis is that it can be performed in seconds, providing rapid and accurate information to help augment expert reads by quickly highlighting areas of concern for RWMA, improving the ease and efficiency of interpretation,” Lang added.
“By harnessing the power of AI into our echocardiography solutions, we empower clinicians with enhanced diagnostic capabilities, to ultimately improve patient care and outcomes in the management of coronary and valvular disease, while enhancing overall efficiency in cardiac practice,” said David Handler, VP and Business Leader for Global Cardiovascular Ultrasound at Philips. “For patients, this means consistent image interpretation which can lead to fewer re-scans, shorter and more effective interventional procedures, and potentially faster recovery times.”
Integration of proven AI applications from Philips DiA Imaging Analysis
Trained on anonymized patient data sets from real-life clinical environments, the AI features integrated across Philips cardiovascular ultrasound systems help improve the quality and reproducibility of cardiac imaging and enhance operator and departmental efficiency. These include FDA-cleared and CE-marked software solutions from DiA Imaging Analysis, a Philips company. Together, these AI features automate how users interpret ultrasound images, so clinicians with varying levels of ultrasound experience can automatically analyze images with increased speed, efficiency, and accuracy in real time.
In addition to integrating these latest advanced AI features into the company’s cardiovascular ultrasound systems, Philips’ new mini ultrasound transducer X11 4t, introduced earlier this year, is fully compatible with the EPIQ CVx and Affiniti CVx systems. The innovative transducer allows interventional cardiologists to provide enhanced care to a wider range of patients, including pediatric patients as small as 5kg in weight.
Through breakthrough innovation and collaborations with technology leaders including NVIDIA**, Philips continues to rapidly integrate AI into its cardiovascular ultrasound portfolio to help improve efficiency and productivity and mitigate staff shortages while delivering high-quality cardiology care to an increasing number of patients. These third-party solutions complement Philips’ proprietary AI-enabled solutions, integrating AI to enhance diagnostic confidence and decision-making.
For more information, join Philips in Booth #441 at ASE2024 and visit Philips Cardiovascular Ultrasound for the latest AI-powered echocardiography applications.
*Clinical performance and safety have not been established for some features which have 510(k) pending. Not available for sale in the USA.**NVIDIA MONAI for medical imaging AI and NVIDIA Holoscan for building software-defined medical devices.
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10398425/ [2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10398425/
For further information, please contact:
Kathy O’Reilly, Philips Global External Relations, Tel.: +1 978 221 8919, E-mail : [email protected]
About Royal Philips
Royal Philips (NYSE: PHG, AEX: PHIA) is a leading health technology company focused on improving people's health and well-being through meaningful innovation. Philips’ patient- and people-centric innovation leverages advanced technology and deep clinical and consumer insights to deliver personal health solutions for consumers and professional health solutions for healthcare providers and their patients in the hospital and the home. Headquartered in the Netherlands, the company is a leader in diagnostic imaging, ultrasound, image-guided therapy, monitoring, and enterprise informatics, as well as in personal health. Philips generated 2023 sales of EUR 18.2 billion and employs approximately 69,100 employees with sales and services in more than 100 countries. News about Philips can be found at www.philips.com/newscenter.
Attachments
- Using AI technology to enhance assessment of heart function through cardiac ultrasound image analysis
- Using AI technology for automated evaluation of heart function through segmental wall motion scoring
- Clinical image showing how integrating AI into cardiac ultrasound provides automated segmental wall motion scoring
- Clinical image showing cardiac ultrasound display for image analysis enhanced through integration of AI.
