AI: Page 187

Deep-learning models could be fooled by fake images
By Erik L. Ridley
Tuesday, 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, 2019
AI finds missed lung nodules on whole-body CT
By Erik L. Ridley
Monday, 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, 2019
ICH detection software reduces report turnaround times
By Erik L. Ridley
Monday, December 2 | 3:10 p.m.-3:20 p.m. | SSE14-02 | Room S406BDeep-learning software for detecting intracranial hemorrhage (ICH) on CT scans can deliver faster radiology report turnaround times and reduce patient hospital stays, according to this talk.
November 3, 2019
Deep learning can find osteoporosis on chest x-rays
By Erik L. Ridley
Monday, December 2 | 11:50 a.m.-12:00 p.m. | SSC09-09 | Room E450BA deep-learning algorithm can predict osteopenia and osteoporosis on chest radiographs, according to a team of researchers from Maryland.
November 3, 2019
AI predicts future healthcare costs from chest x-rays
By Erik L. Ridley
Monday, December 2 | 11:50 a.m.-12:00 p.m. | SSC08-09 | Room E450AIn this talk, a group from California will reveal how an artificial intelligence (AI) algorithm can predict future healthcare expenses for patients just by analyzing their chest radiograph.
November 3, 2019
AI can speed up whole-body diffusion-weighted MRI
By Erik L. Ridley
Monday, December 2 | 11:40 a.m.-11:50 a.m. | SSC08-08 | Room E450AAn artificial intelligence (AI) algorithm can sharply reduce the scanning time required for whole-body diffusion-weighted MRI, according to researchers from the U.K.
November 3, 2019
AI algorithm detects, tags, and segments lesions on CT
By Erik L. Ridley
Monday, December 2 | 10:30 a.m.-10:40 a.m. | SSC08-01 | Room E450AIn this talk, researchers will share details about a deep-learning algorithm for detecting, tagging, and segmenting various lesions on CT images.
November 3, 2019
Radiomics can assess metastatic liver disease treatment
By Erik L. Ridley
Sunday, December 1 | 11:55 a.m.-12:05 p.m. | SSA08-08 | Room S104ARadiomics and machine learning can accurately assess treatment response for liver metastases in breast cancer patients, according to this scientific presentation.
November 3, 2019
AI for DBT improves breast cancer detection
By Kate Madden Yee
Sunday, December 1 | 11:45 a.m.-11:55 a.m. | SSA01-07 | Room S406AWhen radiologists use artificial intelligence (AI) with digital breast tomosynthesis (DBT), their cancer detection performance and efficiency improve, according to data to be presented Sunday morning.
November 3, 2019
AI-based FFR-CT adds value in triple-rule-out angio
By Erik L. Ridley
Sunday, December 1 | 11:35 a.m.-11:45 a.m. | SSA03-06 | Room S105ABArtificial intelligence (AI)-based fractional flow reserve (FFR-CT) analysis can add diagnostic and prognostic value in patients receiving triple-rule-out coronary CT angiography, according to a study to be presented in this talk.
November 3, 2019
Algorithm finds hip, pelvic fractures on x-rays
By Erik L. Ridley
Sunday, December 1 | 11:15 a.m.-11:25 a.m. | SSA12-04 | Room E450AAn artificial intelligence (AI) algorithm was able to detect both hip and pelvic fractures on pelvic radiographs in a study by researchers from Taiwan.
November 3, 2019
AI can be used alone for low-malignancy mammograms
By Kate Madden Yee
Sunday, December 1 | 11:15 a.m.-11:25 a.m. | SSA01-04 | Room S406AAn artificial intelligence (AI) algorithm can be used for standalone interpretation of mammograms that have a low probability of being malignant, researchers from the University of Southern California will report in this presentation.
November 3, 2019
Previous Page
Page 187 of 386
Next Page