Health Imaging
DECEMBER 1, 2023
Cybersecurity consultant Richard Staynings argued legacy medical devices are inherently insecure—and likely to remain in hospitals for decades to come.
Aidoc
JUNE 16, 2024
With that in mind, there comes an array of things to consider as it relates to AI what it does at the level of clinical care: What does AI help hospitals accomplish right now? To date, the FDA has over 850 AI/ML-enabled medical devices listed on its website. How will AI fit into my hospital in the long term?
AuntMinnie
MARCH 19, 2024
France-based medical device developer inHeart has received clearance from the U.S. While the software has been commercially available to clinicians in Europe, FDA clearance now allows inHEART to market the product to hospitals across the U.S. Food and Drug Administration (FDA) for its AI-driven digital twin of the heart.
AuntMinnie
JUNE 20, 2024
Polarean Imaging , a commercial-stage medical device developer for lung MRI, has closed a $12.6 Polarean said it recently received its next de novo order of a Xenoview polarizer from the University of Alabama at Birmingham Hospital. The funding was co-led by Nukem Isotopes GmbH and Bracco S.p.A.,
Imaging Technology
OCTOBER 11, 2023
As a world leader monitoring more than 600 million patients each year worldwide, Philips is creating an open patient monitoring ecosystem to bring together disparate medical devices and systems on a single interface. Every day, clinicians make countless care decisions based on information from divided medical devices and systems.
AuntMinnie
MAY 9, 2024
Centers for Medicare and Medicaid Services (CMS) has also provided some reimbursement through Category I codes and the Hospital Outpatient Prospective Payment System (HOPPS). It remains unclear, however, that all reimbursed uses are currently adding value to patients or the health system, Thorwarth said.
AuntMinnie
NOVEMBER 9, 2023
If this deep-learning model becomes available as a medical device, chest x-rays taken in a variety of settings, such as medical examinations, checkups, and hospitals, could be used to screen for osteoporosis,” Sato and colleagues suggest. The model achieved 79% accuracy, 96.6% sensitivity, and 34.1% accuracy, 77.1%
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