Yesterday, Viz.ai, a pioneer in AI-based disease detection and intelligent care coordination, announced the release of a radiology software suite that uses AI to prioritise work lists, connect care teams in real time, and alert radiologists as part of their workflow in the event of a suspected illness. The Picture Archiving and Communication System (PACS) of healthcare facilities is integrated with the VizTM radiology software suite to securely enable access to imaging data across all services and streamline patient diagnosis.
“In times of increasing demand for imaging exams and a global shortage of radiologists, technologies that can be easily integrated into radiology workflows to improve efficiency and streamline patient care are desperately needed,” The Viz radiology software suite provides radiologists with critical capabilities that optimize imaging data and accelerate patient diagnosis through robust AI-powered features such as real-time notifications, easy-to-use communication tools use and prioritized to-do lists.
Dr. Allan Brook, FACR, FSIR, director of interventional neuroradiology at Montefiore Medical Center and professor of radiology and neurosurgery, Albert Einstein College of Medicine
The Viz radiology software suite connects with PACS and has a mobile and web-based image viewer that feeds AI-based notifications directly to the task list, allowing for effective care coordination. Furthermore, Viz.ai offers a huge selection of FDA-approved algorithms for cardiology, vascular, and neurovascular illnesses.
“We are acutely aware of the critical role radiologists play in the healthcare ecosystem. That’s why we continue to dedicate the time and resources necessary to help us understand how we can best support them and the patients they care for”, “We are therefore very pleased to offer them the Viz radiology software suite which includes a set of AI-powered features designed specifically for radiologists to improve patient care.”
David Golan, Chief Technology Officer and Co-Founder, Viz.ai.
