Precision
heart failure
detection
Using artificial intelligence to build solutions that help answer the greatest unmet need in cardiovascular medicine.
New published research
JACC Advances: Automated Detection of HFpEF using AIA first-of-kind solution
Detect HFpEF with precision from a single apical four-chamber echocardiogram view.
Using our FDA-cleared system, our platform has helped clinicians solve indeterminate cases and helped providers reduce costs.
increase in accuracy4
Improved detection of HFpEF with fewer indeterminates4
“This novel solution applies AI to cardiovascular imaging to greatly simplify identification of patients with HFpEF, a diagnosis that can be challenging to make, and allow more expeditious treatment.”
Time to focus on HFpEF
Diagnosis is challenging
Currently, diagnosis relies on a combination of symptomatology and echocardiographic evidence and the exclusion of non-cardiac causes of dyspnea according to clinical scores. This complexity is a challenge, and up to to 64% of patients are missed a diagnosis3, leading to unavoidable invasive hemodynamic measurements and missed treatment.
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Julian, 81, presented symptoms of shortness of breath and oedema, but had undetermined results when his diastolic function was assessed.
Together with experts
Each of our partners are innovation leaders are working with us to make lives better.
We partner with exceptional leaders across all stages to build transformative technologies.
Some of who we work with
“The FNIH will harness valuable perspectives and expertise of a select number of collaborations, including Ultromics, to alleviate this unmet need and pave the way for better classification and more precise treatment strategies.”
