Erik L. Ridley[email protected]MRIMachine 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, 2017AIMore may not always be better in deep learningTuesday, November 28 | 11:00 a.m.-11:10 a.m. | SSG13-04 | Room S404ABHaving more layers in a convolutional neural network doesn't necessarily lead to better performance for medical imaging tasks, reports a group from Chicago.November 5, 2017CTDeep learning yields real-time coronary calcium scoringTuesday, November 28 | 10:50 a.m.-11:00 a.m. | SSG13-03 | Room S404ABA deep-learning algorithm can swiftly quantify coronary artery calcium scores on low-dose CT lung screening exams, according to researchers from the Netherlands.November 5, 2017CTAlgorithm detects, segments lung nodules on CTTuesday, November 28 | 10:40 a.m.-10:50 a.m. | SSG13-02 | Room S404ABIn this scientific session, a team from imaging software developer Arterys will present its deep learning-based approach to detecting and segmenting lung nodules on CT scans.November 5, 2017AIDeep learning helps forecast cancer treatment responseTuesday, November 28 | 10:30 a.m.-10:40 a.m. | SSG13-01 | Room S404ABThe combination of deep learning and radiomics features could help radiologists estimate the likelihood of a bladder cancer patient responding to neoadjuvant chemotherapy.November 5, 2017CTMachine learning helps predict lithotripsy outcomeMonday, November 27 | 3:50 p.m.-4:00 p.m. | SSE12-06 | Room E353AA Swiss group will present its experience in using CT texture analysis and machine learning to predict the successful treatment of kidney stones with shock-wave lithotripsy.November 5, 2017Previous PagePage 112 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
