Clinical News: Page 696

Deep-learning model could triage renal ultrasound exams
By Erik L. Ridley
Thursday, 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, 2019
AI converts microdose CT to virtual high-dose images
By Erik L. Ridley
Thursday, 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, 2019
GAN model predicts interstitial lung disease survival
By Erik L. Ridley
Wednesday, 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, 2019
AI can help thwart cyberattacks on imaging devices
By Erik L. Ridley
Wednesday, 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, 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
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
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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