Erik L. Ridley[email protected]CTAI algorithm could enhance CT lung cancer screeningTuesday, December 3 | 3:50 p.m.-4:00 p.m. | SSJ05-06 | Room S102CDAn artificial intelligence (AI) algorithm could help radiologists improve their diagnostic accuracy on CT lung cancer screening exams, according to this presentation.November 6, 2019AIAI needs robust clinical evaluation in healthcareIt's not enough for a healthcare artificial intelligence (AI) algorithm to be highly accurate. To be widely adopted in clinical use, it must demonstrate improvement in quality of care and patient outcomes, according to an opinion article published online October 29 in BMC Medicine.November 5, 2019AIGANs ease 'big data' problem in training AI algorithmsMonday, December 2 | 11:40 a.m.-11:50 a.m. | SSC04-08 | Room S102CDA type of AI technology called generative adversarial networks (GANs) that was trained using normal brain CT scans is able to detect various intracranial diseases, according to a study by researchers from South Korea.November 3, 2019CTAI algorithm could enhance CT lung cancer screeningTuesday, December 3 | 3:50 p.m.-4:00 p.m. | SSJ05-06 | Room S102CDAn artificial intelligence (AI) algorithm could help radiologists improve their diagnostic accuracy on CT lung cancer screening exams, according to this presentation.November 3, 2019MRIAI 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, 2019Previous PagePage 70 of 389Next PageTop StoriesWomens ImagingFIGO classification from MRI leads to moderate agreement among radsFIGO classification of uterine fibroids on MRI led to moderate overall interobserver agreement among radiologists.Digital X-RayAI fracture detection tools tested head-to-headCTAI improves interreader CAD-RADS agreement on CCTACTWorld Trade Center attacks boosted lung cancer incidence in responders nearly 3-foldSponsor ContentRegister Now: Breaking Barriers in Breast Imaging Webinar
