Erik L. Ridley[email protected]MRIAI classifies IDH mutation status in brain tumorsThursday, December 5 | 11:30 a.m.-11:40 a.m. | SSQ15-07 | Room S404ABAn artificial intelligence (AI) algorithm was able to classify the mutation status of isocitrate dehydrogenase (IDH) in brain tumors in a study by researchers from Texas.November 3, 2019UltrasoundDeep-learning model could triage renal ultrasound examsThursday, December 5 | 11:10 a.m.-11:20 a.m. | SSQ10-05 | Room E352A deep-learning algorithm can detect abnormalities on renal ultrasound exams, potentially enabling triage of these cases for radiologists, according to this scientific presentation.November 3, 2019AIMachine-learning model predicts interpretation delaysThursday, December 5 | 11:00 a.m.-11:10 a.m. | SSQ11-04 | Room N229A machine-learning algorithm can predict delays in performing and interpreting on-call radiology exams, a team of California researchers will report in this presentation.November 3, 2019CTAI converts microdose CT to virtual high-dose imagesThursday, December 5 | 10:40 a.m.-10:50 a.m. | SSQ19-02 | Room E353BA deep-learning technique can create virtual high-dose CT images from microdose images, helping reduce radiation dose delivered to patients, according to this Thursday presentation.November 3, 2019CTGAN model predicts interstitial lung disease survivalWednesday, December 4 | 3:40 p.m.-3:50 p.m. | SSM14-05 | Room E353CIn this scientific session, researchers from Massachusetts will describe how generative adversarial networks (GANs) can be utilized to predict survival in patients with idiopathic pulmonary fibrosis.November 3, 2019AIPatients need to be educated on AI use in radiologyWednesday, December 4 | 3:40 p.m.-3:50 p.m. | SSM13-05 | Room S404CDIn this talk, researchers from Canada will report on patient perspectives regarding the use of artificial intelligence (AI) technology in radiology.November 3, 2019CTAI can help thwart cyberattacks on imaging devicesWednesday, December 4 | 3:20 p.m.-3:30 p.m. | SSM15-03 | Room E353BIn this presentation, researchers from Israel will describe how artificial intelligence (AI) technology can help protect medical imaging devices from cyberattacks.November 3, 2019AI1st-year radiology residents beat AI for detecting pneumothoraxWednesday, December 4 | 3:00 p.m.-3:10 p.m. | SSM07-01 | Room N228Although it was much faster, an artificial intelligence (AI) algorithm couldn't beat the performance of first-year radiology residents for detecting pneumothorax in a study by researchers from Johns Hopkins University.November 3, 2019MRIAI enhances multiparametric MRI readsWednesday, December 4 | 3:20 p.m.-3:30 p.m. | SSM12-03 | Room N229Artificial intelligence (AI) can improve the sensitivity of radiologists for detecting intraprostatic lesions on multiparametric MRI, according to a multinational team of researchers.November 3, 2019AIAI doesn't hedge when reporting on chest x-raysTuesday, December 3 | 11:40 a.m.-11:50 a.m. | SSG06-08 | Room S406AIn this presentation, researchers from India will describe how a deep-learning algorithm shows potential for producing accurate reports of chest radiographs.November 3, 2019Previous PagePage 74 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
