Erik L. Ridley[email protected]AIMachine-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, 2019BreastDeep-learning models could be fooled by fake imagesTuesday, December 3 | 9:05 a.m.-9:15 a.m. | RC315-04 | Arie Crown TheaterFake images produced by generative adversarial networks (GANs) have the potential to fool deep-learning algorithms and sometimes even radiologists, according to this talk.November 3, 2019CTAI finds missed lung nodules on whole-body CTMonday, December 2 | 3:40 p.m.-3:50 p.m. | SSE14-05 | Room S406BIn this scientific presentation, a team of researchers from Taiwan will report on how an artificial intelligence (AI) algorithm served as a helpful second reader for whole-body CT exams.November 3, 2019Previous PagePage 70 of 389Next PageTop StoriesCTMachine learning plus CT helps assess severity of COPDA machine-learning model based on chest CT images accurately predicts lung function, which can help clinicians diagnose and assess COPD.UltrasoundActive thyroid surveillance effective, beneficial for older patientsMolecular ImagingFES-PET shows promise staging women with invasive lobular cancerCTStructured CT reporting tool may aid hernia detection after bariatric surgeryMRIHigher ventricular and atrial heart volumes boost cardiac disease risk
