Resources: Page 154

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
AI can opportunistically screen for vertebral fractures
By Erik L. Ridley
Sunday, December 1 | 11:05 a.m.-11:15 a.m. | SSA12-03 | Room E450AIn this talk, researchers will present their automated method to provide opportunistic screening for vertebral fractures on CT exams.
November 3, 2019
Deep learning detects bone metastases on PET/CT
By Erik L. Ridley
Sunday, December 1 | 10:45 a.m.-10:55 a.m. | SSA16-01 | Room S505ABA deep-learning system can yield promising results for identifying and annotating bone metastases on PET/CT image data, according to this talk by researchers from Japan.
November 3, 2019
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 3, 2019
Road to RSNA 2019: Artificial Intelligence Preview
By Erik L. Ridley
Welcome to the first installment of this year's Road to RSNA preview of the RSNA 2019 meeting in Chicago. Our journey along the Road to RSNA begins with our preview of artificial intelligence (AI), a topic that's once again primed to take center stage at the meeting. AI research is largely focused these days on augmenting radiologists and improving the practice of radiology and patient care.
November 3, 2019
2017 11 02 17 42 1107 Road To Rsna 400
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.
October 30, 2019
FDA clears XACT Robotics' interventional system
By AuntMinnie.com staff writers
The U.S. Food and Drug Administration (FDA) has cleared XACT Robotics' robotics system for CT-guided percutaneous interventional procedures.
October 30, 2019
Carestream to show digital tomo at RSNA 2019
By AuntMinnie.com staff writers
Carestream Health plans to show a digital tomosynthesis capability option for its DRX-Evolution Plus digital radiography system at the RSNA 2019 conference.
October 29, 2019
2018 12 11 18 57 3717 Carestream Rsna 2018 400
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Berlin
Winners of 20th annual Minnies are radiology's best
By Brian Casey, Erik L. Ridley, Kate Madden Yee, and Wayne Forrest
For two decades, the annual Minnies awards have served as a barometer of excellence in radiology. This year's winners are no exception, demonstrating the amazing achievements being made by researchers, educators, vendors, and software developers across medical imaging.
October 21, 2019
2016 10 26 09 10 53 654 Minnies Logo Winner 400
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