ASCEND Cardiovascular announces partnership with Us2.ai to bring an AI-assisted Echocardiography integration to its cardiovascular workflow.
ASCEND Cardiovascular, leader in cardiovascular structured reporting and workflow solutions is partnering with Us2.ai to add fully automated echocardiography analysis and CV disease detection reporting to its suite of seamlessly integrated cardiovascular image visualization and reporting solutions.
When integrated with InViewTM, ASCEND’s high-performance zero-footprint Cardiovascular viewer, Us2.ai’s FDA-cleared and CE Marked echocardiogram algorithms automate measurements and pre-populate structured report templates. This transforms everyday reading and reporting workflow by eliminating manual steps and improving the speed of coordination-of-care for patients with suspected heart disease, the leading cause of death worldwide.
ASCEND InView provides a highly effective, streamlined solution for echo, vascular, and cath viewing and reporting. Using Artificial Intelligence and Machine Learning technologies, InView’s Categorized Hanging Image Protocol (CHIP) analyzes and classifies images by modality and view to automatically organize current and prior images by anatomy and pathology categories. Added value is provided by synchronized navigation and population of structured reports, enabling a streamlined, smart, and highly effective workflow for echo reading and reporting.
Us2.ai’s technology is a patented, automated clinical decision support workflow solution that recognizes and analyzes 2D and Doppler echo images for comprehensive cardiac measurements needed for the diagnosis, detection and prognosis of heart disease and pulmonary hypertension. Us2.ai’s software decreases the time from patient assessment to treatment initiation by expediting echocardiogram reporting and time-critical diagnostics in the acute and post-acute care phases. “This integration with ASCEND brings a reliable and cost-efficient solution to cardiovascular care providers and patients that will drive efficiency, reduce costs, and ultimately improve patient care”, commented Seth Koeppel, Head of Business Development at Us2.ai.
“The combination of ASCEND’s AI-based image review and robust structured reporting with Us2.ai’s automated image analysis and interpretation truly transforms Cardiovascular workflow, making it more effective, efficient, and less variable than traditional, manual alternatives” says Dr. Jeff Soble, practicing Cardiologist and CEO of ASCEND Cardiovascular. “This first-of-its kind integration demonstrates ASCEND’s commitment to helping the provider community improve Cardiovascular care with complete workflow solutions”.
About ASCEND:
ASCEND Cardiovascular is a leader in innovating cardiovascular solutions that empower the provider community to improve cardiovascular care. Designed with openness in mind, our solutions integrate with EHRs, medical devices, and other systems to deliver seamless workflows that span procedure types and modalities. A complete cardiovascular solution, ASCEND provides structured reporting, image visualization, collaboration, and analytics that improve efficiency, outcomes, and ROI. With decades of experience and a practicing cardiologist at our helm, the ASCEND team brings unparalleled “know how” in cardiology workflow, collaboration, and IT offering limitless opportunities to improve clinical, operational, and quality performance. Learn more: www.ascendcv.com.
About Us2.ai:
Us2.ai uses machine learning to automate the fight against heart disease. The company’s software tools improve clinical decision making and cardiovascular research for clinical trials using echocardiography, the safest and most common cardiac imaging modality. Us2.ai connects institutions and imaging labs around the world on a platform of ready to use automation tools for view classification, segmentation and federated learning across diverse, anonymous patient and disease cohorts. Us2.ai is a fast-growing startup backed by IHH Healthcare, Heal Partners, Sequoia India and EDBI.
[1] https://my.clevelandclinic.org/health/diagnostics/16947-echocardiogram#
