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Singapore – April 5, 2024 — Us2.ai, a leading MedTech firm backed by prominent investors including IHH Healthcare, Heal Partners, Peak XV Partners (formerly Sequoia India) and EDBI announces FDA clearance for Us2.v2, featuring 45 automated echo parameters, including strain analysis [1], marking a significant stride in medical innovation. Us2.v2 is an advanced image post-processing…
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Manual interpretation of echocardiographic data is time-consuming and operator-dependent. With the advent of artificial intelligence (AI), there is a growing interest in its potential to streamline echocardiographic interpretation and reduce variability. This study published in The Journal of Echocardiography aimed to compare the time taken for measurements by AI to that by human experts. “Our…
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Each year, RHD kills nearly 400,000 people globally. Experts at Children’s National Hospital deployed algorithms on the Us2.ai platform to detect early-stage RHD with the same accuracy as a cardiologist. “AI will tell you to move (the probe) left or right to get the ideal picture… Even more importantly, we’ve developed technology that can tell…
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The CUMIN study and implications for global healthcare, published in European Heart Journal Digital Health. “The study’s findings have broader implications, especially for healthcare systems facing resource constraints. The feasibility demonstrated in detecting cardiac dysfunction through AI-POCUS, even with novice operators, suggests a scalable and cost-effective solution. This could potentially reshape the landscape of HF…
Read MoreComments from Izabella Uchmanowicz, RN, PhD, FESC, FHFA The CUMIN pilot study published in European Heart Journal Digital Health represents a groundbreaking initiative in overcoming a significant healthcare challenge, particularly in low- and middle-income countries. The study’s focus on utilizing artificial intelligence-enhanced point-of-care ultrasound (AI-POCUS) in a home-based setting, led by novice nurses, provides a…
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CMS has issued a new HCPCS code for echocardiography image post processing for computer aided detection of heart failure with preserved ejection fraction, including interpretation and report and the timing could not be better for doctors and patients given our ability to completely automate the detection of all types of heart failure (HFpEF, HFrEF, HFmrEF)…
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A Beat Ahead on World Heart Day. Us2.ai is building a future where everyone has equal access to high quality, inexpensive echo analysis. Hear from leading global cardiologists how AI Echocardiography can transform disease management. See how AI automated analysis can reduce echo backlogs and improve efficiency in real world hospital settings as demonstrated in…
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Using AI to interpret images from a handheld ultrasound device could help speed up detection of heart failure, new research suggests. Dr Ross Campbell, from the University of Glasgow, said: “Our breaking new OPERA results show that investing in AI in healthcare could offer remarkable benefits to both patients and the NHS. “We have shown…
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Diagnosis of sub-clinical heart failure with preserved ejection fraction is challenging and echo services are traditionally limited to tertiary echo centres. Early signs of heart failure often go undiagnosed until patients are hospitalized for heart failure syndrome. We want to extend echo diagnostics into the community, especially for the primary care diabetes population, so that…
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Aortic stenosis (AoS) is a common form of valvular heart disease present in 12% of the population aged above 75. If left untreated, 1/4 of those with severe symptomatic AoS will die from this condition within 2 years. Echo is the primary imaging modality used to diagnose AoS, but the necessary imaging is time consuming…
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