Erik L. Ridley[email protected]Radiation 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, 2017MRIMachine learning predicts working memory performanceTuesday, November 28 | 3:30 p.m.-3:40 p.m. | SSJ19-04 | Room N228This Tuesday afternoon session will reveal how machine learning can predict a person's working memory performance by analyzing brain white-matter microstructure.November 5, 2017MRIMachine learning differentiates brain tumorsTuesday, November 28 | 3:10 p.m.-3:20 p.m. | SSJ19-02 | Room N228Machine learning can distinguish between glioblastoma multiforme and primary central nervous system lymphoma on multiparametric MRI, according to researchers from Japan.November 5, 2017CTDeep learning can spot significant coronary stenosisTuesday, November 28 | 11:50 a.m.-12:00 p.m. | SSG02-09 | Room S504ABIn this session, researchers will describe how deep learning shows potential for identifying patients with functionally significant coronary artery stenosis.November 5, 2017CTAI assesses cardiovascular risk on routine chest CTTuesday, November 28 | 11:40 a.m.-11:50 a.m. | SSG13-08 | Room S404ABA Dutch team has found that its artificial intelligence (AI) algorithm can automatically perform cardiovascular risk assessment from routine chest CT studies.November 5, 2017Previous PagePage 108 of 389Next PageTop StoriesInterventionalWhat’s the best treatment for 'eloquent' brain AVMs?Researchers performed the first direct comparisons of two emerging techniques for treating arteriovenous malformations (AVMs).Womens ImagingPreop MRI lessens younger women's risk of breast cancer recurrenceMRIMRI predicts diabetes in obese patientsCTConsider global lung features on LDCT to improve cancer risk predictionSponsor ContentJoin Us!
