AI could help reduce unnecessary breast biopsies
August 29, 2016 -- Artificial intelligence (AI) technology could help reduce unnecessary breast biopsies, according to a new study published online August 29 in Cancer.
Mobile App Spotlight: Kanal's MR safety implant risk tool
August 24, 2016 -- AuntMinnie.com presents the next article in an ongoing series highlighting notable mobile apps in radiology. In this installment, we take a look at Kanal's MR Safety Implant Risk Assessment, a new iOS app designed by longtime MRI safety advocate Dr. Emanuel Kanal.
How soon will deep learning affect radiology?
August 18, 2016 -- For radiologists concerned about the arrival of deep learning, the future might be here sooner than you think. Deep-learning algorithms could begin producing radiology reports for basic studies like mammography and chest x-rays in as soon as five years, and for most types of imaging studies over the next 20 years.
HIMSS/SIIM paper offers advice on enterprise image viewers
August 4, 2016 -- Interested in adopting an enterprise viewer for reviewing images in the electronic health record? There are some key issues to be aware of, according to a white paper jointly produced by the Healthcare Information and Management Systems Society (HIMSS) and the Society for Imaging Informatics in Medicine (SIIM).
Radiation exposure monitoring needs a personal touch
July 28, 2016 -- Yes, good software can go a long way. But it takes people to really make a radiation dose-monitoring initiative successful, according to a July 27 webinar co-sponsored by the Society for Imaging Informatics in Medicine and the European Society of Medical Imaging Informatics.
Initiative drives PACS use in point-of-care ultrasound
July 26, 2016 -- Want to increase the number of emergency department point-of-care ultrasound studies being archived on PACS at your institution? It may not take that much effort to get emergency room physicians on board, according to a study published in the Journal of Digital Imaging.
Machine learning may aid evaluation of prostate MRI
July 20, 2016 -- Multiparametric prostate MRI exams can be difficult to interpret, particularly for those who aren't expert genitourinary radiologists. Machine-learning software may be able to make that task a lot easier, however, according to a proof-of-concept study from the University of California, Los Angeles.
Will AI soon put radiologists out of a job?
July 11, 2016 -- Are radiologists really "wasted protoplasms" -- as allegedly described recently by a CEO of a medical imaging start-up company -- who can be easily replaced in the future with artificial intelligence (AI) technology? Not so fast, according to Dr. Eliot Siegel of the University of Maryland.
How to evaluate, use imaging clinical decision support
July 8, 2016 -- Although recent research found that radiology clinical decision-support (CDS) software did not result in imaging orders being sent to other institutions, it's natural for hospitals to still be wary of annoying their referring physicians. Much can be done, though, to win clinician support and succeed with CDS, explains Dr. Stephen Herman from MedCurrent.
SIIM: How to take the archive out of PACS
July 1, 2016 -- PORTLAND, OR - Are you interested in deconstructed PACS, but not ready to take the plunge? Deploying a vendor-neutral archive that takes over archive management from the PACS could be a prudent stepping-stone, according to a Friday talk at the Society for Imaging Informatics in Medicine (SIIM) conference.
CIO Focus
SIIM: Will your VNA become the flip phone of the future?
PORTLAND, OR - Could your vendor-neutral archive (VNA) someday become the equivalent of the Motorola Razr flip phone -- a once-cool technology that fails to change with the times? Make sure it doesn't, according to a Thursday panel at the Society for Imaging Informatics in Medicine (SIIM) 2016 meeting.
Expert Corner
Mr. Michael Cannavo
Mr. Michael Cannavo
As the PACSman, Michael J. Cannavo provides a wealth of insight based on his unique experiences in PACS and imaging informatics.
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