Erik L. Ridley[email protected]CTDeep learning can quantify fat around the heartFriday, December 1 | 10:30 a.m.-10:40 a.m. | SST02-01 | Room E450AA deep-learning algorithm can rapidly segment and quantify the volume of thoracic fat surrounding the heart, according to researchers from Cedars-Sinai.November 5, 2017CTDeep learning may sharply increase specificity of CCTAThursday, November 30 | 11:50 a.m.-12:00 p.m. | SSQ02-09 | Room S502ABThe combination of a deep-learning algorithm and visual stenosis grading could significantly boost the specificity of coronary CT angiography (CCTA) for detecting functionally significant stenosis, a Dutch team has found.November 5, 2017MRIMachine learning can determine onset of stroke symptomsWednesday, November 29 | 3:50 p.m.-4:00 p.m. | SSM12-06 | Room S404CDA South Korean research team will describe the potential of machine learning for the crucial task of determining when acute ischemic stroke patients began experiencing symptoms.November 5, 2017MRIMachine learning forecasts survival in glioma patientsWednesday, November 29 | 3:10 p.m.-3:20 p.m. | SSM12-02 | Room S404CDMachine learning using MRI radiomic features may be able to predict the survival of patients with gliomas, according to this study from a research group in Taiwan.November 5, 2017Radiation Oncology/TherapyAI may enhance MRI-guided adaptive radiation therapyWednesday, November 29 | 3:00 p.m.-3:10 p.m. | SSM12-01 | Room S404CDArtificial intelligence (AI) can provide automatic contouring of tumors and organs to support daily MRI-guided adaptive radiation therapy, researchers will report in this Wednesday session.November 5, 2017MRIDeep learning can predict infarction risk after strokeWednesday, November 29 | 11:00 a.m.-11:10 a.m. | SSK15-04 | Room N226In this morning talk, researchers will describe how deep learning can help guide treatment decisions for patients with acute ischemic stroke.November 5, 2017AIPairing AI, radiologists improves bone age assessmentWednesday, November 29 | 11:00 a.m.-11:10 a.m. | RC513-11 | Room E352In this scientific session, researchers will explain why artificial intelligence (AI) and radiologists are better together when it comes to bone age assessment.November 5, 2017MRICAD software tracks changes in brain metastasesWednesday, November 29 | 11:00 a.m.-11:10 a.m. | RC505-09 | Room E451BComputer-aided detection (CAD) software can be used to detect and quantify changes in brain metastases on MRI, according to researchers from Philadelphia.November 5, 2017AICADx software performs well for bone age assessmentWednesday, November 29 | 10:50 a.m.-11:00 a.m. | RC513-10 | Room E352A computer-aided diagnosis (CADx) software application can accurately perform automated bone age assessment in children, a German group has found.November 5, 2017MRIMachine learning can help predict KRAS mutation statusWednesday, November 29 | 10:40 a.m.-10:50 a.m. | SSK07-02 | Room E353AMachine learning and quantitative MRI features can assist in predicting the KRAS mutation status of tumors in patients with metastatic colon cancer, according to Harvard researchers.November 5, 2017Previous PagePage 107 of 389Next 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
