Wayne Forrest[email protected]BreastBreast parenchymal patterns aid breast cancer evaluationWednesday, November 29 | 11:30 a.m.-11:40 a.m. | SSK02-07 | Room E451AUsing automated measurements of breast parenchymal patterns derived from synthesized digital breast tomosynthesis exams could help assess cancer risk, according to researchers from the University of Pennsylvania.November 8, 2017BreastAI-based software could reduce unnecessary biopsiesWednesday, November 29 | 11:20 a.m.-11:30 a.m. | SSK01-06 | Room E450AA group from the University of Southern California will discuss the performance of a quantitative computer-aided detection software application that uses deep learning and artificial intelligence (AI) to improve mammography screening.November 8, 2017BreastNovel deep-learning process aids breast cancer detectionWednesday, November 29 | 11:10 a.m.-11:20 a.m. | SSK02-05 | Room E451AIn this talk, researchers will present a method of combining routine clinical data and natural language processing to create large datasets for deep learning and enhancing breast cancer diagnosis.November 8, 2017UltrasoundDeep-learning CAD adds to breast ultrasound findingsWednesday, November 29 | 10:50 a.m.-11:00 a.m. | SSK02-03 | Room E451AThe potential benefits of deep-learning computer-aided detection (CAD) for breast ultrasound will be outlined in this Wednesday morning presentation by researchers from South Korea.November 8, 2017BreastDeep learning could lend a hand with digital mammoWednesday, November 29 | 10:40 a.m.-10:50 a.m. | SSK02-02 | Room E451AA computer system based on deep-learning technology was as efficient as radiologists in detecting breast cancer on digital mammography exams in a study by a group from Sweden and the Netherlands.November 8, 2017BreastDeep learning improves mammography multitaskingTuesday, November 28 | 11:30 a.m.-11:40 a.m. | SSG13-07 | Room S404ABEveryone can use some help when multitasking. Researchers from the University of Michigan will present the benefits to mammography from a deep convolutional neural network based on a multitask transfer learning algorithm.November 8, 2017MRIBrain MRI shows long-term adverse effects of West Nile virusMR images of people who develop neurological complications from West Nile virus show that many of these patients experience brain damage years after the original infection, according to a new study presented on Tuesday at the American Society of Tropical Medicine and Hygiene annual meeting.November 7, 2017MRIAction star Chuck Norris, wife file gadolinium MRI lawsuitAction film star Chuck Norris and his wife Gena have filed a lawsuit against 11 companies involved in the manufacture and distribution of MRI gadolinium-based contrast agents, alleging that their products are responsible for Gena's severe health problems. The litigation ensures that the gadolinium controversy will remain in the public eye.October 31, 2017MRIRoad to RSNA 2017: MRI PreviewMRI might be considered a mature modality, but researchers and clinicians are constantly exploring new avenues for the decades-old imaging technology. RSNA 2017 will feature presentations on multiparametric MRI, hybrid multidimensional MRI, and new sequences for metal artifact reduction.October 31, 2017MRITexture analysis helps differentiate breast abnormalitiesThursday, November 30 | 11:50 a.m.-12:00 p.m. | SSQ01-09 | Room E450AJapanese researchers plan to extol the diagnostic performance of texture analysis with dynamic contrast-enhanced breast MRI for nonmass enhancement and the differentiation of malignant and benign lesions.October 31, 2017Previous PagePage 59 of 239Next PageTop StoriesDigital X-Ray3D DEXA reveals lower bone density in diabetes patients3D DEXA revealed differences that conventional bone mineral density measurements did not detect.MRIGadolinium in ... beer?UltrasoundMWA safe, effective in treating hyperthyroidism with nodulesAIAI model shows promise for diagnosing prostate cancerCT'Habitat' AI model helps stratify lung nodule disease risk on LDCT