Erik L. Ridley[email protected]AIDeep learning can detect location of PICC line tipsA deep-learning algorithm that can prescreen chest radiographs for an incorrectly positioned peripherally inserted central catheter (PICC) was presented at the recent Society for Imaging Informatics in Medicine annual meeting. The algorithm can alert radiologists to immediately prioritize those cases.June 11, 2017PACS/VNAWis. hospital cures chaos of nonradiology imagesMost healthcare enterprises do a great job of managing radiology images, but things can get chaotic when it comes to images from outside radiology. A health system from Wisconsin found a cure in an application it developed to leverage its existing DICOM infrastructure to manage nonradiology images.June 8, 2017AIAuntMinnie.com Artificial Intelligence InsiderJune 7, 2017ISAuntMinnie.com Imaging Informatics InsiderJune 6, 2017PACS/VNASIIM: Are imaging vendors prepared for cybersecurity?PITTSBURGH - Medical imaging vendors often aren't prepared for cybersecurity provisions to be included in contracts for PACS and imaging devices, and it can take months to complete these negotiations, according to a presentation on Saturday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.June 2, 2017AISIIM: Deep learning can help assess breast densityPITTSBURGH - A deep-learning technique shows promise for helping to classify breast density on mammography images, according to research presented on Friday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.June 1, 2017AISIIM: AI poised to enhance all aspects of radiologyPITTSBURGH - Artificial intelligence (AI) will persistently and pervasively enhance all aspects of radiology, enabling precision medicine and potentially even finding disease before it becomes symptomatic, said Dr. Keith Dreyer, PhD, on Thursday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.May 31, 2017AIHow will AI affect radiology over the next 20 years?Will radiologists be replaced within 20 years by computers powered by artificial intelligence (AI)? Dr. Bradley Erickson, PhD, and Dr. Eliot Siegel debated this question on May 25 in a wide-ranging discussion at the U.S. National Cancer Institute's Shady Grove Campus in Rockville, MD.May 25, 2017UltrasoundWho should read point-of-care ED ultrasound exams?When radiologists interpret initial ultrasound studies in the emergency department (ED), fewer follow-up imaging studies are needed, according to research presented at the American College of Radiology meeting in Washington, DC.May 25, 2017UltrasoundAuntMinnie.com Ultrasound InsiderMay 23, 2017Previous PagePage 122 of 393Next PageTop StoriesCTNew benchmark helps monitor cumulative CT radiation doseThe findings highlight the need for systematic dose tracking and rigorous justification of imaging.Radiation Oncology/TherapyStudy questions routine use of radiotherapy after bone surgeryUltrasoundCEUS outshines color Doppler imaging for indeterminate kidney lesionsWomens ImagingWomen's Imaging MinnieCast, Episode 2: Risk-based vs. annual mammography screening, part 1Digital X-RayChest x-rays reveal atherosclerosis in patients undergoing amputations
