The module analyzes imaging data immediately after the scan is complete and can identify signs of a potentially life-threatening pulmonary embolism within five minutes, a time-sensitive diagnosis that often takes expert radiologists several hours to determine.
This is the second FDA-cleared AI-powered radiology solution for Aidoc, which received approval in August 2018 for a system using deep learning to flag cases of acute intracranial hemorrhage in head CT scans.
More articles about AI:
3 new AI-enabled FDA ‘Breakthrough Devices’: an Alzheimer’s-detecting retinal scanner, a kidney disease diagnostic & more
Deep learning system detects ACL tears as accurately as trained radiologists
NIH gives biotech company $300K to use AI to develop hantavirus antibodies
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.
