With approximately 900,000 cases diagnosed in the United States each year, venous thromboembolism (VTE) is a common yet underdiagnosed disease that can overburden health systems due to suboptimal outcomes, including low survival rates, long-term complications and recurrence.1, 2
Artificial intelligence has the potential to transform the way VTE care is provided, helping clinicians to quickly coordinate care, accelerate clinical decision making and manage long-term patient follow-up adherence.
Always On AI
Image and report-based AI runs in the background to opportunistically identify potential cases which may require PERT activation, IVC filter removal or a proximal DVT consultation
Remove variability and automate risk stratification with user-set RV/LV ratios
Notification and activation of suspected VTE cases tailored to facility workflows
Longitudinally manage chronic VTE pathology over time and opportunistically identify potential IVC filter retrieval procedures with a text-based AI solution