A group of imaging leaders took to the stage during a session at the Society for Imaging informatics in Medicine (SIIM) 2018 annual meeting to share memorable hardships related to imaging informatics and what they learned.
Research presented at ASCO 2018 found that using contrast perfusion-weighted MRI enhanced by artificial intelligence (AI) and texture analysis can differentiate between brain tumors according to their mutation status.
With first U.S. commercial installation at Hennepin Healthcare, the Philips Ingenia Elition performs MRI exam times up to 50 percent faster with no compromise in image quality.
Women who underwent initial mammography screening were more likely to seek out additional preventative measures—despite a positive or negative result—such as Pap smear, bone mass measurement or influenza vaccine services.
Michael Recht, MD, chairman of the department of radiology at NYU Langone Medical Center, said, during a session at SIIM's 2018 annual meeting, that data need to be accurate, customizable, actionable and accessible for a strong analytics program.
Danielle Ofri, MD, PhD, and internist at Bellevue Hospital and the New York University School of Medicine, along with her colleagues, believe a false-positive or abnormal result in an imaging test doesn’t necessarily mean patients need to worry or follow-up with their physician.
The Medical Imaging and Technology Alliance (MITA) announced its strong support of a bipartisan letter from U.S. Reps. Erik Paulsen, R-Minnesota, and Scott Peters, D-California, urging United States Trade Representative (USTR) Robert Lighthizer to exempt $3 billion worth of medical devices from tariffs.
“The most striking thing to me as a researcher crafting these attacks was probably how easy they were to carry out," said study lead author Samuel Finlayson, a computer scientist and biomedical informatician at Harvard Medical School in Boston, in an IEEE Spectrum story.
Artificial intelligence (AI) is poised to change transportation with self-driving vehicles, Kimberly Powell, with the Nvidia Corporation, and colleagues believe their work on the subject can also be applied to radiology.
