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AI: Page 188
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
Medicare AI contest shuns imaging candidates
By
AuntMinnie.com staff writers
A contest run by the U.S. Centers for Medicare and Medicare Services to showcase healthcare applications of artificial intelligence (AI) found no suitable candidates from the world of medical imaging.
October 31, 2019
Deep-learning model characterizes PET/CT findings
By
Erik L. Ridley
An artificial intelligence algorithm shows a promising level of accuracy for identifying normal and abnormal results on FDG-PET/CT exams, and it could potentially help radiologists avoid missed findings, according to research published online October 28 in the
Journal of Digital Imaging
.
October 31, 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.
October 30, 2019
HeartVista gets FDA nod for cardiac MRI AI software
By
AuntMinnie.com staff writers
Cardiac MRI artificial intelligence (AI) software developer HeartVista has garnered U.S. Food and Drug Administration (FDA) 510(k) clearance for its One Click MRI AI acquisition software.
October 28, 2019
AI may help improve sensitivity of ED chest x-ray reads
By
Erik L. Ridley
An artificial intelligence (AI) algorithm can accurately identify significant abnormalities on chest x-rays and could improve the sensitivity of radiology residents interpreting these cases in the emergency department (ED), according to research published online October 22 in
Radiology
.
October 24, 2019
iSchemaView adds to AI software offerings
By
AuntMinnie.com staff writers
Cerebrovascular imaging software developer iSchemaViewhas released Rapid ICH, a new addition to its Rapid artificial intelligence (AI) software platform to help diagnose intracranial hemorrhage (ICH).
October 23, 2019
AI boosts ultrasound for thyroid cancer screening
By
Kate Madden Yee
Using artificial intelligence (AI) with thyroid ultrasound offers a quick and noninvasive approach to thyroid cancer screening, according to a study published online on October 24 in
JAMA Otolaryngology -- Head & Neck Surgery
.
October 23, 2019
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