Article | Aug 29, 2025 This first-ever trial to randomize the use of an AI-based automated tool on a daily basis revealed that AI significantly enhanced the efficiency of screening echocardiography, reducing examination time despite a 3.4-fold increase in the number of parameters measured. This improved efficiency increased the number of examinations per day without increasing sonographers’ fatigue; in fact, it mitigated mental fatigue. Furthermore, being freed from the need

Article | Jul 29, 2025 A new study published in the European Journal of Heart Failure showcases the power of artificial intelligence to transform how heart failure is diagnosed. Researchers tested fully automated AI analysis (Us2ai) on images acquired using handheld echocardiography in 867 real world patients with suspected heart failure. The AI accurately detected left ventricular ejection fraction (LVEF ≤40 percent) with a diagnostic accuracy of 0.93, closely matching expe

Article | Jun 11, 2025 Ten years after the first head-to-head comparison of two-dimensional speckle-tracking echocardiography derived GLS measurements obtained with software solutions from different vendors, the authors compared again GLS results from 3-vendor-specific and 6-vendor agnostic software solutions in a cohort of patients and volunteers with a wide range of LV function.  AI GLS Strain Imaging in Multi-Vendor Comparison Study Us2.ai ’s Feature in this Study: Us2.

Article | May 16, 2025 This study from Bordeaux University Hospital evaluated the real-world use of AI in echocardiography, analyzing nearly 900 echo scans across varying operator experience levels. Results showed strong agreement between AI-generated and human measurements —particularly for ejection fraction and Doppler-based parameters—highlighting AI’s potential to streamline workflow and reduce variability. The Us2.ai software was integrated into the hospital system wi

Article | Mar 6, 2025 An innovative approach to early diagnosis of heart failure (HF) and COPD , leveraging the power of Premier League football ⚽ to reach communities that may not otherwise respond to community health care screening strategies. By integrating AI-enabled point-of-care diagnostics into a 1-stop community hub , this project is making early detection more accessible than ever. AI Echo for screening in the community

Article | Feb 19, 2025 Original Research | Editorial Comment Published in JACC: Cardiovascular Imaging , the authors validated a fully automated AI echocardiographic workflow for grading Mitral Regurgitation (MR) severity. The study demonstrated that the machine learning approach was feasible , fast , highly accurate , and predicts 1-year mortality . Its implementation in clinical practice could improve patient care while improving quality and efficiency in echo labs. MR Se

Article | Jan 7, 2025 This study highlights the use of a convolutional neural network (CNN) [ Us2.ai ] to measure key thoracic aortic parameters—LVOT, SoV, STJ, and pAA—in Aortic Stenosis (AS) patients. The CNN demonstrated comparability to cardiologist measurements on transthoracic echocardiography (TTE) and computed tomographic angiography (CTA). With its ability to deliver rapid and highly reproducible measurements, CNN technology holds promise for enhancing echocardiogra

Article | Nov 27, 2024 Healthcare AI technologies have seen tremendous adoption in the medical imaging field. AI-echo’s performance has been shown to match or exceed human experts in many studies, but do we know if patients are ready to accept AI technology? In 100 patients with suspected heart failure who presented for cardiac imaging at National Heart Centre Singapore , the authors examined patients’ acceptance toward task shifting from conventional echo to AI-echo (with t

Article | Jul 22, 2024 Echo is essential in cardiovascular medicine for screening, diagnosis, and monitoring. AI has the potential to reduce variability and analysis time. While 3D echo is becoming more accurate, 2D imaging still dominates clinical care. This study evaluates agreement in measures of LV volume and function between human readers, Us2.ai and the 3D Heart Model.

Article | Jun 18, 2024 This Nature Scientific Reports study affirms the role of Us2.ai in empowering novices to obtain accurate ultrasound information to diagnose heart failure. AI offered a more sensitive and objective alternative than NT-proBNP to initiate guideline directed medical therapy in primary care clinics. AI Echo Heart Failure Diagnosis

Article | May 8, 2024 New research led by the University of Dundee, demonstrated the feasibility of AI to  automatically identify and classify patients with heart failure from archived echocardiographic images with  Us2.ai  software. AI Echocardiography for Heart Failure Detection

Article | Feb 13, 2024 Us2.ai echocardiographic analysis led to a 70% reduction in measurement and report creation time compared to manual methods, as published in the Journal of Echocardiography . AI Echo Reduces Reporting Time By 70%

Article | Jan 21, 2024 Published in Nature Hypertension Research, this study used Us2.ai to support healthcare workers in South Africa obtain LVH measurements despite limited training, hand-held sonography devices, difficult imaging conditions, and limited personal resources for analysis.

Article | Jan 4, 2024 The CUMIN study, published in European Heart Journal Digital Health , showcases the technical feasibility of AI-POCUS with an EchoNous Kosmos in the hands of novice nurses and opens new possibilities for redefining how we approach cardiac care, particularly in regions with limited resources. The fusion of AI, POCUS and nursing expertise holds the promise of transforming patient outcomes and optimizing healthcare delivery.

Article | Nov 22, 2023 The first fully automated AI software with validated global longitudinal strain in patients with and without atrial fibrillation; plus regional strain validated in real-world datasets; plus accurate identification of patients with heart failure, as well as those with regional wall-motion abnormalities, published in the European Heart Journal’s Digital Health .

Article | Oct 13, 2023 Remarkable recent advances have revolutionized the field of heart failure. Survival has improved among individuals with heart failure and a reduced ejection fraction, as published in Nature Medicine .

Article | Oct 12, 2023 AI to identify cases and classify types of heart failure (HFpEF or HFrEF) from routine EHR surveillance, published in the Journal of Cardiac Failure .

Article | Jun 26, 2023 Aortic stenosis published in JASE . First study of its kind demonstrating the capacity of AI Echo to accurately quantify AoS severity with zero human input beyond image acquisition.

Article | Jun 20, 2023 AI echo mortality prediction published in eBioMedicine . Echo can facilitate risk stratification, comparable in performance to established risk scores and correlated with patient’s quality of life measures.

Article | Nov 10, 2022 AI interpretation of echocardiograms – a formal validation of echo analysis software published in Nature Communications .