Erik L. Ridley[email protected]MRIMachine 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, 2018BreastDeep learning may yield sharply lower dose from DBTMonday, November 26 | 3:00 p.m.-3:10 p.m. | SSE23-01 | Room S502ABIn this scientific session, a multi-institutional team of researchers will share how deep-learning technology could lead to nearly 80% lower radiation dose to patients from digital breast tomosynthesis (DBT) studies.October 28, 2018CTAI enables CT screening for osteoporosis fracture riskMonday, November 26 | 3:00 p.m.-3:10 p.m. | SSE14-01 | Room E353CArtificial intelligence (AI) algorithms could enable screening for the risk of osteoporosis-attributed bone fracture by analyzing CT scans that are already being performed for other purposes, according to researchers from Switzerland.October 28, 2018Previous PagePage 92 of 389Next PageTop StoriesCTMachine learning plus CT helps assess severity of COPDA machine-learning model based on chest CT images accurately predicts lung function, which can help clinicians diagnose and assess COPD.UltrasoundActive thyroid surveillance effective, beneficial for older patientsMolecular ImagingFES-PET shows promise staging women with invasive lobular cancerCTStructured CT reporting tool may aid hernia detection after bariatric surgeryMRIHigher ventricular and atrial heart volumes boost cardiac disease risk
