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 | 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 | Sep 19, 2024 Despite successes in the treatment of heart failure resulting in effective therapies across the entire LVEF spectrum, heart failure remains a huge global public health problem. The authors discuss how digital health tools could improve patient outcomes. AI Digital Tools In Heart Failure

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 | Apr 24, 2024 Evaluating the performance of automated deep learning algorithms for measurement of echo estimators of invasively measured PCWP. Deep learning for HFpEF Detection

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 | 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 | May 21, 2023 AI-enabled, home-based cardiac care by nurses – abstract presented at the ESC Heart Failure Congress 2023. AI point-of-care ultrasound can improve access, enabling novice nurses to perform cardiac screening in patients’ homes.

Article | Feb 27, 2023 AI echo reports with AI Point-of-Care ultrasound enable novices to perform heart failure screening

Article | Sep 15, 2022 AI echo disease detection at scale – University of Dundee poster on the detection and diagnosis of patients with heart failure from electronic health records

Article | Oct 31, 2022 Machine learning for diastology and heart failure with preserved ejection fraction – editorial published in JASE Machine learning for diastology and heart failure with preserved ejection fraction – editorial published in JASE