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Solutions for imaging centers

Imaging centers face an uphill battle to maintain the level of quality and service in the face of increasing workloads. Cardiologists need consistent, trustworthy results for a growing number of patients. New technologies have emerged to help solve this challenge.

AI-powered echocardiography analysis

We provide a groundbreaking AI service that automates the interpretation of echocardiogram scans, including common measurements used to diagnose heart health.

Heart disease can be diagnosed earlier, improving outcomes for patients, and reducing the burden placed on clinicians.  

EchoGo is an easy-to-implement, cloud-based solution that eliminates variability in echo analysis.

It accurately automates echo scans and delivers on the promise of cardiac strain as a prognostic indicator.

EchoGo Core: Automated LV analysis

We calculate the most common measurements helpful in the diagnoses of heart health, including Global Longitudinal Strain (GLS), Ejection Fraction (EF), Left ventricle end-diastolic volume (LV EDV), Left ventricle end-systolic volume (LV ESV), Left ventricle end-diastolic length (LVL ED), Left ventricle end-systolic length (LVL ES) – from 4C, A2C, A4C/A2C, A3C, A4C/A2C/A3C views and Biplane.

Precise

Zero variability between operators.

Fast

Save up to 25% of study time.

Predictive

Clinically validated to outperform manual analysis.

“A complex pathway of symptoms, circumstances and features means that it is not always easy to correctly identify Coronary Artery Disease (CAD) on first visit”, said Dr. David Ripley, the Trust’s director of research and development and a consultant cardiologist. “We are using Ultromics’ Artificial intelligence platform, EchoGo, in our Echocardiography exams to analyse CAD patients and detect features that would have been impossible to detect using traditional software. EchoGo has the potential to improve the diagnostic accuracy of predicting coronary artery disease within our Trust”

Dr David Ripley , Northumbria NHS Trust R&D Director

EchoGo Pro: CAD prediction on stress echocardiography

We combine AI with stress echocardiography to detect earlier signs of coronary artery disease. Clinically validated to improve clinician's performance and diagnostic accuracy.

>10% sensitivity

Results are 10% more sensitive than manual reads. EchoGo Pro has demonstrated an area under the ROC curve of 0.927. 

>20% SPECT

Results are 20% more accurate than SPECT.

>25% study time saved

Reports are provided within minutes to assist as second reads.

 

Benefits for imaging centers

  • Eliminate inconsistencies and subjectivity in echo reporting, tackling the major issues in echo analysis.

  • Maintain the trust of physicians and cardiologists in imaging centers’ output despite increased workload.

  • Improve imaging centers’ efficiency of throughput of scans and echo analysis.

  • Increase the quality of imaging services without significant cost rises.
 

“A complex pathway of symptoms, circumstances and features means that it is not always easy to correctly identify Coronary Artery Disease (CAD) on first visit”, said Dr. David Ripley, the Trust’s director of research and development and a consultant cardiologist. “We are using Ultromics’ Artificial intelligence platform, EchoGo, in our Echocardiography exams to analyse CAD patients and detect features that would have been impossible to detect using traditional software. EchoGo has the potential to improve the diagnostic accuracy of predicting coronary artery disease within our Trust”

Dr David Ripley , Northumbria NHS Trust R&D Director

AI that is unique and trusted

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EchoGo uses a massive, outcomes-based dataset to generate accurate, consistent and precise results. With zero variability, it eliminates cardiologist mistrust and allows cardiac strain to be reliably used as a diagnostic and prognostic tool. Analysis time is cut by 25 per cent, and budgets are catered to with flexible payment schemes, including pay-per-scan.

Learn more about our AI solutions

Contact us to learn how to optimize your service