PulseAI

We are proud to share our latest publication in collaboration with Universitätsspital Basel (USB)! 🇨🇭 This research showcases the power of PulseAI's ECG algorithm in detecting atrial fibrillation more accurately across multiple smart ECG device providers whilst also dramatically decreasing the occurrence of inconclusive single-lead ECG tracings. Read the full paper here: https://lnkd.in/eGdyJ4w5

It's always insightful to hear John Halamka, M.D., M.S. and Jag Singh discuss how data can enhance healthcare. #hrx2024 Mayo Clinic Platform

Results from a recent clinical trial (NCT05668377) conducted by David Burke and his team at Beacon Hospital in Dublin provide valuable insights into the performance of the Apple Watch in detecting arrhythmia. Unlike some manufacturers who exclude inconclusive tests, our study uncovered essential findings, most notably that there are inconclusive tests remaining even after repeated measures. Showing that reporting performance measures excluding inconclusive may not be valid. The Apple Watch algorithm showed improvement with multiple recordings, however it still fell short of the performance of the PulseAI algorithm. Excitingly, the PulseAI neural network outperformed the Apple Watch algorithm (algorithm version 2.0) in our trial across all assessment criteria. This accomplishment highlights its superior accuracy in minimising inconclusive results while boosting sensitivity and specificity. These results are particularly important in the context of human review, as inconclusive tests are labour intensive to interpret. Given that Apple sells between 30-50M apple watches a year, the number of inconclusive tests provide a real challenge to healthcare systems globally. #ecg #apple #applewatch #ai #digitalhealth

Great weekend at European Society of Cardiology Congress in London. Thanks David Albert for the 12L. The future of cardiology is bright. 🌟🫀 #Cardiology #ESCcongress #London #AI PulseAI

Right-sided ECG leads may better reflect the substrate in arrhymogenic cardiomyopathy. They are not routinely recorded but may be calculated. We have shown that it may be worth doing this! Aleksei Savelev presented today at ESC in London. Lund University Skånes universitetssjukhus (Skåne University Hospital) Daniel Guldenring Anneli Svensson Pia Dahlberg Claus Graff Jesper Hastrup Svendsen Alex Christensen Anneline te Riele

Meet me at #HRX2024! Excited to join @HRSonline & cardiovascular #innovators in Atlanta on Sept 5-7, 2024. Let’s ignite innovation! Learn more & register at ExperienceHRX.com.

Nice review on detecting Atrial Fibrillation from smartwatch ECG, referencing our work with University Hospital Basel on dramatically reducing inconclusive analysis with the PulseAI neural network. #ecg #ai #atrialfibrillation

I'm thrilled to share that I was awarded the Best Poster prize at the recent Irish Signals and Systems Conference (ISSC 2024)! This achievement wouldn't have been possible without the incredible support of the Ulster University team and the PulseAI team. Their expertise and collaboration were instrumental in this project's success. I'm also grateful for the sponsorship of an Industrial Fellowship from the Royal Commission for the Exhibition of 1851, which provided valuable resources throughout this research journey. A huge thank you to the ISSC 2024 Organising Committee for this recognition. I'm incredibly motivated to keep pushing the boundaries in this field! #ISSC2024 #BestPosterAward #UlsterUniversity #PulseAI #RoyalCommission #Research #Engineering

Great day at the 35th Irish Signals and Systems Conference, ISSC 2024! Our CTO Peter Doggart presented cutting-edge research from PulseAI on uncertaining-aware deep learning for ECG analysis. #ISSC2024 #Research #ECGAnalysis #DeepLearning

We are thrilled to share a major milestone! Our team recently completed the renowned Mayo Clinic Platform Accelerate program, leveraging diverse data, cutting-edge industry insights, and tailored support to enhance our AI-ECG solutions. Checkout our Showcase video for further insights.