Resources: Page 152

Deep learning improves DBT's efficiency
By Kate Madden Yee
Sunday, December 1 | 10:45 a.m.-10:55 a.m. | SSA01-01 | Room S406AIn this presentation, researchers will describe how using a deep-learning algorithm with digital breast tomosynthesis (DBT) can reduce radiologists' interpretation times.
November 4, 2019
Road to RSNA 2019: Women's Imaging Preview
By Kate Madden Yee
At RSNA 2019, attendees will have the opportunity to learn how artificial intelligence (AI) is transforming women's imaging, such as enhancing breast imaging, improving radiologists' workflow, and reducing recall rates with digital mammography. This year's conference will also feature presentations on shear-wave elastography, contrast-enhanced spectral mammography, and more.
November 4, 2019
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RSNA 2019 offers vision of the possible in radiology
By AuntMinnie.com staff writers
What does the future hold for radiology? There's no better place to find out than at RSNA 2019. This year's meeting promises to continue the strong emphasis on artificial intelligence found in recent shows, while also touching on important topics such as professional burnout, precision health, and integrating radiologists into patient care.
November 3, 2019
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GANs ease 'big data' problem in training AI algorithms
By Erik L. Ridley
Monday, 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, 2019
AI algorithm could enhance CT lung cancer screening
By Erik L. Ridley
Tuesday, 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, 2019
AI classifies IDH mutation status in brain tumors
By Erik L. Ridley
Thursday, 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, 2019
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
Machine-learning model predicts interpretation delays
By Erik L. Ridley
Thursday, 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, 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
Patients need to be educated on AI use in radiology
By Erik L. Ridley
Wednesday, 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, 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
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