Erik L. Ridley[email protected]BreastAI-based CAD can improve breast cancer detectionWednesday, November 28 | 11:30 a.m.-11:40 a.m. | SSK02-07 | Room E451BComputer-aided detection (CAD) software based on artificial intelligence (AI) can increase radiologist breast cancer detection rates, according to this scientific presentation.October 28, 2018BreastIn-house data train breast cancer detection algorithmWednesday, November 28 | 11:20 a.m.-11:30 a.m. | SSK02-06 | Room E451BResearchers from California will share how deep-learning algorithms for breast cancer detection can be trained using an in-house image database.October 28, 2018MRIMachine learning reduces MRI scanning timesTuesday, November 27 | 3:30 p.m.-3:40 p.m. | SSJ18-04 | Room E451BIn this presentation, researchers will show how a machine learning-based image reconstruction algorithm can sharply lower scanning times for brain and lumbar MRI studies.October 28, 2018MRIAI can prescreen brain MRIs as normal or abnormalTuesday, November 27 | 3:00 p.m.-3:10 p.m. | SSJ18-01 | Room E451BArtificial intelligence (AI) can prescreen brain MRI studies and triage abnormal exams for neuroradiologists, according to researchers from New York.October 28, 2018AIDeep-learning algorithms need real-world testingTuesday, November 27 | 11:20 a.m.-11:30 a.m. | RC305-11 | Room S406BResearchers from Boston will show why it's important for deep-learning algorithms to be tested on real-world cases prior to being deployed in clinical practice for image analysis tasks.October 28, 2018CTAI algorithm can triage suspected spine fracture casesTuesday, November 27 | 10:50 a.m.-11:00 a.m. | SSG08-03 | Room S102CDA team of researchers from California found that an artificial intelligence (AI) algorithm can assess for the presence of spine fractures on CT exams, serving as a triage tool in the acute trauma setting.October 28, 2018AIAI combs radiology reports for urgent findingsTuesday, November 27 | 10:40 a.m.-10:50 a.m. | SSG06-02 | Room N230BIn this presentation, researchers will share another approach based on artificial intelligence (AI) for automatically flagging radiology results that need to be urgently communicated to referring physicians.October 28, 2018CTMachine learning bests CAD-RADS for risk assessmentTuesday, November 27 | 10:40 a.m.-10:50 a.m. | SSG02-02 | Room S104BIn this talk, researchers will report that machine learning performs better than the Coronary Artery Disease Reporting and Data System (CAD-RADS) for predicting death and coronary events on coronary CT angiography.October 28, 2018AIAI can detect 5 conditions on chest x-raysTuesday, November 27 | 10:30 a.m.-10:40 a.m. | SSG13-01 | Room S404ABAn artificial intelligence (AI) algorithm system can be highly accurate for detecting five specific findings on chest radiography studies, according to South Korean researchers.October 28, 2018ISDeep learning spots urgent results on radiology reportsTuesday, November 27 | 10:30 a.m.-10:40 a.m. | SSG06-01 | Room N230BDeep learning and natural language processing can automatically detect urgent findings on free-text radiology reports, U.S. researchers will report in this scientific presentation.October 28, 2018Previous PagePage 96 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
