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Us2.connect turns any ultrasound device into your AI echo copilot. From CARTs to mobile devices, any echo machine can now have 100% automated reporting with disease detection and editable measurements, all generated in realtime as you scan. See the AI echo copilot video There is constant demand for highly trained sonographers and cardiologists to examine…

Fully automated echo reporting and disease detection in realtime with the GE Vivid E95. The future of AI for ultrasound is here today!

We have an increasing number of patients with diabetes, hypertension and chronic kidney disease who know about their chronic disease but don’t know whether they have heart failure or not.  We need to have a way to determine those patients who have, or who are at risk of having heart failure, without necessarily needing to see…

The ESC Heart Failure Guidelines recommend measurement of plasma NT-proBNP concentration as an initial step, and echocardiography as a necessary tool to confirm HF diagnosis, as well as to distinguish between types of HF. Nt-proBNP biomarker testing and echocardiography delivered in primary care and community settings could potentially expand access to screening and enable earlier…

Heart failure affects 64 million people worldwide and many cases remain undetected and/or untreated despite available evidence-based therapies. AI can help tackle this problem with 100% automated disease detection. Join us in Prague at Heart Failure 2023 in the Roche booth for live demonstrations of AI automated echo for the detection of heart failure. Automation…

Transthyretin (ATTR) amyloidosis is emerging as an under recognized form of heart failure especially in the elderly.  The aim of the study was to assess the ability of Us2.ai to assess prognosis, in this patient population, at the University College London National Amyloidosis Centre, the largest center worldwide for cardiac amylodosis. “With Us2.ai software, in a little more than…

In the US and Europe, Mitral Regurgitation (MR) is the most common valvular heart disease.  It is very difficult to grade MR, but extremely important because the more severe the MR is, the worse the prognosis for patients. Unfortunately, using echocardiograms and other modalities to grade MR they is very cumbersome, lengthy and inaccurate.  AI could…

Strain imaging is currently the most sensitive parameter reflecting myocardial deformation and systolic left ventricular function.  Reduced left ventricular global longitudinal strain (GLS) predicts adverse events, as well as helps diagnose myocardial diseases and monitor sub-clinical myocardial disease progression. We analyzed myocardial global longitudinal strain in three different cohorts. Fully automated measurements of GLS and…

Heart failure will be very prevalent in the future where 1 in 10 people above the age of 65 will be diagnosed with heart failure.  However, access to professionally perform echocardiograms can have wait times of 4 to 6 months which delays treatment of heart failure.  Perhaps we could train novices with no prior sonography…

AI echo at EACVI 2023 – join us in Barcelona to learn more about echo analysis software. Scientific ValidationAmyloidosis – 10 May (9:30 AM), Moderated ePosters 2Automated analysis of echocardiograms can predict prognosis in ATTR cardiomyopathy Adam Ioannou, National Amyloidosis Centre, University College London, Royal Free Hospital Strain – 10 May (11:30 AM), Teatro Scientifico…