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CT: Page 82
Photon-counting CT makes modality more effective for breast imaging
By
Kate Madden Yee
Tuesday, November 30 | 9:30 a.m.-10:30 a.m. | SSPH09-5 | Room TBAIn this Tuesday morning presentation, research findings will show how high-resolution photon-counting CT used with deep-learning image processing can expand the modality's role in breast cancer imaging.
November 15, 2021
PET/MRI shows prowess for nodal staging in breast cancer
By
Amerigo Allegretto
Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSNMMI01-4 | Room TBAIn this presentation, researchers will compare nodal staging between CT, MRI, and FDG-PET/MRI in patients with newly diagnosed breast cancer.
November 15, 2021
FDA clears Lunit's AI-based chest x-ray triage software
By
AuntMinnie.com staff writers
Artificial intelligence (AI) software developer Lunit has received clearance from the U.S. Food and Drug Administration (FDA) for its software to triage chest x-ray emergency cases.
November 14, 2021
Report: Reimbursement drives adoption of AI software for stroke
By
Erik L. Ridley
The start in 2020 of Medicare payments for artificial intelligence (AI) software to detect large-vessel occlusion stroke on CT scans has precipitated a sharp increase in utilization, according to a new report from group purchasing organization Vizient.
November 14, 2021
Stricter Lung-RADS protocol helps reclassify nodules on follow-up CT
By
Kate Madden Yee
Stricter Lung-RADS categories in terms of nodule size help clinicians to categorize those found on follow-up lung cancer screening CT exams, according to a study by researchers from Harvard University. Their results were published November 10 in the
American Journal of Roentgenology
.
November 14, 2021
Deep-learning algorithm triages emergency head CTs
By
Erik L. Ridley
Wednesday, December 1 | 1:30 p.m.-2:30 p.m. | SSMS05-3 | Room TBAA deep-learning algorithm trained on only normal head CT exams can triage emergency cases for priority review by radiologists, according to this presentation.
November 14, 2021
Deep learning identifies CT biomarkers that help diagnose type 2 diabetes
By
Kate Madden Yee
Wednesday, December 1 | 9:30 a.m.-10:30 a.m. | SSGI11-3 | Room TBADeep learning can identify CT biomarkers that help detect and predict type 2 diabetes in patients undergoing CT for other indications, according to this presentation.
November 14, 2021
Coronary stenosis algorithm bolsters reproducibility
By
Erik L. Ridley
Monday, November 29 | 3:00 p.m.-4:00 p.m. | SSCA04-2 | Room TBACoronary stenosis evaluation on coronary CT angiography can be improved with the assistance of an artificial intelligence algorithm, according to this presentation.
November 14, 2021
Can AI help guide management of COVID-19 patients?
By
Erik L. Ridley
Monday, November 29 | 1:30 p.m.-2:30 p.m. | SSPH05-2 | Room TBAIn this session, researchers will discuss the potential of artificial intelligence (AI) for supporting treatment decisions in COVID-19 patients.
November 14, 2021
Algorithm helps monitor HCC treatment response
By
Erik L. Ridley
Monday, November 29 | 9:30 a.m.-10:30 a.m. | SSGI06-5 | Room TBAA deep learning-based software application can improve the objectivity of treatment response evaluation in patients with hepatocellular carcinoma (HCC), according to this presentation.
November 14, 2021
Federated learning facilitates algorithm training
By
Erik L. Ridley
Monday, November 29 | 9:30 a.m.-10:00 a.m. | SSGI05-2 | Room TBAIn this talk, researchers will share their success in using federated learning to train deep-learning algorithms for liver and tumor segmentation on hepatic CT exams.
November 14, 2021
AI differentiates colorectal polyps on CT colonography
By
Erik L. Ridley
Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSGI01-4 | Room TBAThis proof-of-concept study will demonstrate the potential for artificial intelligence (AI) technology to differentiate colorectal polyps spotted on CT colonography exams.
November 14, 2021
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