Webinars

Our CEO & founder, Dr Ross Upton, PhD, introduces our AI diagnostic for HFpEF detection at the FNIH AMP Symposium, sharing findings on its performance in clinical practice.

Dr Pratricia Pellikka talks through the findings from the 2022 JACC article: Automated Echocardiographic Detection of Heart Failure With Preserved Ejection Fraction Using Artificial Intelligence.

FUJIFILMs Adam Hooker and Ultromics Crystal Lowrey announce the integration of EchoGo^® Heart Failure with FUJIFILM Synapse^®Hear how the EchoGo^® Integration runs smoothly in the background to increase accuracy and precision whilst reducing reporting time on HFpEF diagnosis.

Dr. Rizwan Sarwar from Oxford University moderates a discussion between Dr. Roberto Lang, University of Chicago and Professor Paul Lesson, Oxford University and Chief Medical Officer at Ultromics

Topics of discussion: 

• Top clinical benefits of strain
• When to use strain and how to get started
• Special use-cases for strain
• Dependence on image quality, accuracy, and variability
• Resource management: time, software, training for sonographers

Dr. Patricia Pellikka from Mayo Clinic discusses the utilization of deep-learning applications to echocardiography for the diagnostic classification of cardiovascular disease. Followed by Dr. Federico Asch from MedStar presenting how AI is able to predict cardiac patient outcomes, such as mortality, with results shared from the 2021 WASE-COVID trial.

We hear from Gary Woodward, Chief Technical Officer of Ultromics, who hosts a sit-down conversation with Dr Partho Sengupta, discussing the role of artificial intelligence today in clinical practice, and how it is providing physicians with the best insights to support clinical decisions for their patients – including what to know, what to do, and when to get started.

Lead authors, Dr. Federico Asch and Dr. Roberto Lang, discuss with Ultromics CTO, Gary Woodward, the outcomes of the WASE-COVID trial, a multi-center study from the The World Alliance Societies of Echocardiography using artificial intelligence to predict Cardiac outcomes in COVID-19 patients.