Imaging Informatics: Page 149

AI model shows promise in detecting lesions from DBT data
By Amerigo Allegretto
Wednesday, December 1 | 3:00 p.m.-4:00 p.m. | SSBR09-3 | Room TBAFinish your RSNA week off right with this presentation, in which researchers will discuss an artificial intelligence (AI) algorithm that detects lesions using datasets from digital breast tomosynthesis (DBT) exams.
November 15, 2021
Deep-learning tool triages women with decreased breast density
By Amerigo Allegretto
Wednesday, December 1 | 3:00 p.m.-4:00 p.m. | SSBR09-4 | Room TBAIn this Wednesday talk, researchers will present findings from their study of nearly 2,700 women that used a convolutional neural network in predicting mammographic density percentage from MRI scans.
November 15, 2021
'Plug-and-play' AI method helps with microcalcifications on DBT
By Amerigo Allegretto
Tuesday, November 30 | 9:30 a.m.-10:30 a.m. | SSPH09-6 | Room TBAResearchers will present results from a "plug-and-play" artificial intelligence (AI) algorithm that they say has the potential to improve detection of microcalcifications on digital breast tomosynthesis (DBT) images.
November 15, 2021
AI reduces false positives on breast ultrasound
By Amerigo Allegretto
Monday, November 29 | 3:00 p.m.-4:00 p.m. | SSBR04-6 | Room TBAResearchers will present their findings from a clinical trial that used artificial intelligence (AI) in an effort to reduce false positives on breast ultrasound.
November 15, 2021
Harmonic, subharmonic ultrasound characterizes breast lesions
By Amerigo Allegretto
Monday, November 29 | 3:00 p.m.-4:00 p.m. | SSBR04-4 | Room TBAIn this presentation, Flemming Forsberg, PhD, from Thomas Jefferson University in Philadelphia will discuss characterizing breast lesions with 3D harmonic and subharmonic ultrasound.
November 15, 2021
Combining radiomics, AI with PET/MRI helps assess nodal status
By Amerigo Allegretto
Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSNMMI01-3 | Room TBAHere, researchers will talk about how applying radiomics and machine learning to FDG-PET/MRI can noninvasively assess nodal status and treatment planning for breast cancer patients.
November 15, 2021
FDA clears GE Healthcare's x-ray AI for endotracheal tube placement
By AuntMinnie.com staff writers
The U.S. Food and Drug Administration (FDA) has cleared GE Healthcare's artificial intelligence (AI) software for assessing endotracheal tube placement on x-ray images.
November 14, 2021
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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
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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
2021 04 07 22 09 9651 Artificial Intelligence Ai Face 400
Radiologists boost AI severity quantification of COVID-19
By Erik L. Ridley
Involving radiologists in fine-tuning an artificial intelligence (AI) algorithm yielded better performance for detecting and quantifying COVID-19 pneumonia on x-rays, according to research published October 28 in the Journal of Thoracic Imaging.
November 14, 2021
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Road to RSNA 2021: Artificial Intelligence Preview
By Erik L. Ridley
Welcome to the first installment of this year's Road to RSNA preview of the RSNA 2021 meeting, which will return to McCormick Place after a one-year hiatus due to the COVID-19 pandemic. Fittingly, our journey along the Road to RSNA begins with our preview of artificial intelligence.
November 14, 2021
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AI model shows promise in detecting lesions from DBT data
By Amerigo Allegretto
Wednesday, December 1 | 3:00 p.m.-4:00 p.m. | SSBR09-3 | Room TBAIn this talk, researchers will discuss an artificial intelligence (AI) algorithm that detects lesions using datasets from digital breast tomosynthesis (DBT) exams.
November 14, 2021
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