Deep learning helps predict pulmonary blood flow
January 22, 2020 -- A deep-learning algorithm that analyzed chest x-rays was able to predict pulmonary to systemic blood flow just as well as clinicians. The finding could give healthcare providers a better way to determine which patients with congenital heart disease require intervention, according to a January 22 article in JAMA Cardiology.  Discuss
Point-of-care photos of patients enhance portable x-ray
January 20, 2020 -- Taking patient photographs at the point of care to attach them to portable radiographs is technically feasible and also confers numerous advantages for patient care, according to a study published in the January edition of American Journal of Roentgenology.  Discuss
No shield from x-rays: How science is rethinking lead aprons
January 16, 2020 -- CHICAGO - Patients have come to expect a technician to drape their torsos with a heavy lead apron when they get an x-ray, but new thinking among radiologists and medical physicists is upending the decades-old practice of shielding patients from radiation.  Discuss
Virtual reality shows value in x-ray patient positioning
January 13, 2020 -- Virtual reality technology enables student radiographers in Australia to simulate the entire process of acquiring an accurate x-ray exam with greater efficiency and ease than with the standard training method of clinical role-play, according to a study published in the February issue of Radiography.  Discuss
Uncertain findings sabotage x-ray's value for pneumonia
December 23, 2019 -- Has the performance of radiography for detecting pneumonia been overstated? A study in the December edition of the American Journal of Roentgenology suggests that x-ray's sensitivity and specificity drop when uncertain impressions are included.  Discuss
Philips places emphasis on AI at RSNA 2019
December 4, 2019 -- CHICAGO - Philips Healthcare is putting a major emphasis on artificial intelligence (AI) in its booth at RSNA 2019, showing technology designed to improve workflow and help customers choose from a range of AI algorithms to analyze medical images.  Discuss
Imaging experts give insight on vaping-related lung injury
December 3, 2019 -- CHICAGO - The diagnosis of electronic cigarette or vaping-associated lung injury on imaging exams continues to evolve as reports of new cases emerge daily. A panel of experts on the subject shared their insights into the epidemic in a special interest session at RSNA 2019.  Discuss
Portable head CT, AI for MRI pace Siemens at RSNA
December 3, 2019 -- CHICAGO - A new portable head CT scanner on wheels, artificial intelligence (AI) tools for MRI, and a premium shared-services ultrasound scanner are among the RSNA 2019 highlights for Siemens Healthineers this week.  Discuss
Video from RSNA 2019: Reducing radiation dose in medical imaging
December 3, 2019 -- CHICAGO - Is radiology making progress in reducing the radiation dose used in medical imaging exams? Maybe, but there is still much work to be done, according to Dr. Rebecca Smith-Bindman of the University of California, San Francisco.  Discuss
Researchers present perils of e-scootering at RSNA 2019
December 3, 2019 -- The recent surge in electric scooter use in major U.S. cities has led to marked increases in various scooter-related injuries. Researchers from Indiana discussed the presentation of these injuries on CT scans and x-ray images at the RSNA 2019 meeting in Chicago.  Discuss