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Resources: Page 153
1st-year radiology residents beat AI for detecting pneumothorax
By
Erik L. Ridley
Wednesday, 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, 2019
AI enhances multiparametric MRI reads
By
Erik L. Ridley
Wednesday, 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, 2019
AI doesn't hedge when reporting on chest x-rays
By
Erik L. Ridley
Tuesday, 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, 2019
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
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