Erik L. Ridley[email protected]AIDeep learning can identify malpositioned feeding tubesSunday, November 26 | 11:45 a.m.-11:55 a.m. | SSA12-07 | Room S403AIn this talk, researchers will highlight the potential of deep learning for speeding up the detection of malpositioned feeding tubes in critically ill patients.November 12, 2017AIChest x-ray algorithm shows why it made its diagnosisSunday, November 26 | 11:35 a.m.-11:45 a.m. | SSA12-06 | Room S403AA team from India will present a deep-learning algorithm that highlights the areas of the chest x-ray that led to the algorithm's diagnosis.November 12, 2017CTDeep learning differentiates liver masses on CTA deep-learning approach using a convolutional neural network can accurately classify liver masses into five categories based on dynamic contrast-enhanced CT images, according to research from Japan published online recently in Radiology.November 9, 2017UltrasoundArtificial intelligence may help bridge experience gap for liver CEUSCan a computer-aided diagnosis system based on machine learning characterize focal liver lesions on contrast-enhanced ultrasound (CEUS) cine clips as accurately as an expert reader? It's certainly possible, if research published online recently in Radiology is any indication.November 8, 2017AIRoad to RSNA 2017: Artificial Intelligence PreviewOur next destination on the Road to RSNA is a stop in artificial intelligence (AI) for a preview of this year's presentations on AI in medical imaging, including machine learning, deep learning, and computer-aided detection/diagnosis. If you thought AI had taken off at RSNA 2016, you haven't seen anything yet.November 5, 2017Nuclear MedicineDeep learning can predict stenosis on fast SPECT-MPIFriday, December 1 | 11:00 a.m.-11:10 a.m. | SST02-04 | Room E450AResearchers have found that deep learning can improve the detection of potentially significant ischemic defects on raw, high-speed SPECT myocardial perfusion imaging (MPI) studies.November 5, 2017CTDeep 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, 2017Previous PagePage 107 of 389Next PageTop StoriesDigital X-RayBone-RADS improves accuracy for junior, attending physicansACR's Bone-RADS led to improved diagnostic accuracy for junior and attending physicians, but lower accuracy for senior physicians.MRIMRI, CT, ultrasound biomarkers help identify Crohn disease stricturesWomens ImagingLow breast cancer screening prevalence tied to socioeconomic factorsMolecular ImagingPET/CT reveals ‘chemo brain’ regions in leukemia patientsAIStanford AIDE lab proposes radiology AI safety monitoring model
