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AI-based strain analysis is possible without operator input, and may reduce variability and facilitate longitudinal follow-up of GLS in those patients.
Find out how Ultromics’ artificial intelligence in EchoGo Core can automate echo measurements and their analysis using secure cloud-based technology.
The burden of heart failure (HF) on patients and clinicians, and the need to diagnose it more quickly and efficiently, is severe and constantly increasing.
EchoGo Core by Ultromics can automate the echocardiography analysis process, including the measurement of strain. Find out more about the clinical applications.
EchoGo Core uses AI to accurately automate echocardiographic measurements with zero variability. Here are five benefits it can provide to your echo lab.
Medical technology in this area is moving rapidly, with significant advances coming in both the detection and treatment of heart disease.
COVID-19 placed echocardiography departments under mounting new pressures while shining a floodlight on existing challenges. Learn more on how AI helps.
Artificial intelligence services can help streamline workflows and increase throughput, enabling echocardiographers to better measure global longitudinal strain (GLS) more routinely without impacting productivity
The British Society of Echocardiography has announced cardio-oncology guideline published jointly with the British Cardio-oncology Society
Professor Paul Leeson, talks about heart disease and how new innovation is playing a critical role in helping early detection, diagnosis and prevention.
Here are the top 5 limitations of Strain echocardiography and how AI overcomes them
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