Imaging
Four experts in diagnostic imaging IT offer CIOs, CMOs and other leaders some best practices for making a complex technology work best for their own healthcare organizations.
Credit: Lunit
A new study, conducted by Korean academic hospitals and Lunit, a medical AI company specializing in developing AI solutions for radiology and oncology, demonstrated the benefi
Above image: Screengrab of the Melbourne Pathology website.
Last week, Victoria-based Melbourne Pathology became the latest pathology provider to upload reports to My Health Record (MHR). This allows both patients and clinicians to have convenient and secure access to their pathology reports.
They will be in the Nuance AI Marketplace for Diagnostic Imaging, which is designed to provide a one-stop shop for radiologists to review and purchase AI models to improve their workflow.
The major player in imaging and health IT discusses the trends and some of its technologies with an eye on helping HIMSS20 attendees navigate the show.
The findings suggest AI systems can be trained to detect and grade cancer in prostate needle biopsy samples with an accuracy rate equal to that of prostate pathology experts.
Credit: NTU Singapore
The new SERI-NTU Advanced Ocular Engineering (STANCE) Laboratory is a collaboration between NTU, SNEC and SERI.
A study published in Nature suggests its model was able to spot cancer in de-identified screening mammograms with fewer false positives and false negatives than experts.
The NYU School of Medicine’s technology enables radiologists to see images the way they currently see them, then, if they deem necessary, ask the AI for its opinion. Results to date are impressive.
Greg Singleton, director of HHS' Health Sector Cybersecurity Coordination Center
VPN vulnerabilities, variations of "the Blues" and PACS imaging servers are among the risks the Health Sector Cybersecurity Coordination Center, or HC3, is tracking.
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John Fowler, deputy information security officer at Henry Ford Health System
(Credit: Henry Ford Health System)
