Erik L. Ridley[email protected]AICan AI diagnose pneumonia better than radiologists?An artificial intelligence (AI) algorithm developed by Stanford University researchers can detect 14 types of medical conditions on chest x-ray images, and it's even able to diagnose pneumonia better than expert radiologists, according to a paper published November 14 on arXiv.org.November 16, 2017Digital X-RayDeep learning shows promise for bone age assessmentA deep-learning convolutional neural network algorithm can estimate skeletal maturity on pediatric hand radiographs as accurately as expert radiologists -- and nearly as accurately as a commercial computer-aided diagnosis software application, according to research published online in Radiology.November 15, 2017RSNACADx 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 12, 2017AIDeep learning helps find lung nodules on chest x-rayMonday, November 27 | 11:00 a.m.-11:10 a.m. | SSC03-04 | Room S504CDA U.K. team has found that deep learning-powered computer-aided detection software could potentially act as a second reader for chest radiographs.November 12, 2017AIAI detects large pneumothoraces on chest x-raySunday, November 26 | 12:05 p.m.-12:15 p.m. | SSA12-09 | Room S403AArtificial intelligence (AI) algorithms can automatically detect large pneumothoraces on chest x-ray -- potentially speeding up detection and reporting of these critical findings, according to this presentation.November 12, 2017AIDeep 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, 2017Previous PagePage 110 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
