Imaging Informatics: Page 356

AI can prescreen brain MRIs as normal or abnormal
By Erik L. Ridley
Tuesday, November 27 | 3:00 p.m.-3:10 p.m. | SSJ18-01 | Room E451BArtificial intelligence (AI) can prescreen brain MRI studies and triage abnormal exams for neuroradiologists, according to researchers from New York.
October 28, 2018
Deep-learning algorithms need real-world testing
By Erik L. Ridley
Tuesday, November 27 | 11:20 a.m.-11:30 a.m. | RC305-11 | Room S406BResearchers from Boston will show why it's important for deep-learning algorithms to be tested on real-world cases prior to being deployed in clinical practice for image analysis tasks.
October 28, 2018
AI algorithm can triage suspected spine fracture cases
By Erik L. Ridley
Tuesday, November 27 | 10:50 a.m.-11:00 a.m. | SSG08-03 | Room S102CDA team of researchers from California found that an artificial intelligence (AI) algorithm can assess for the presence of spine fractures on CT exams, serving as a triage tool in the acute trauma setting.
October 28, 2018
AI combs radiology reports for urgent findings
By Erik L. Ridley
Tuesday, November 27 | 10:40 a.m.-10:50 a.m. | SSG06-02 | Room N230BIn this presentation, researchers will share another approach based on artificial intelligence (AI) for automatically flagging radiology results that need to be urgently communicated to referring physicians.
October 28, 2018
Machine learning bests CAD-RADS for risk assessment
By Erik L. Ridley
Tuesday, November 27 | 10:40 a.m.-10:50 a.m. | SSG02-02 | Room S104BIn this talk, researchers will report that machine learning performs better than the Coronary Artery Disease Reporting and Data System (CAD-RADS) for predicting death and coronary events on coronary CT angiography.
October 28, 2018
AI can detect 5 conditions on chest x-rays
By Erik L. Ridley
Tuesday, November 27 | 10:30 a.m.-10:40 a.m. | SSG13-01 | Room S404ABAn artificial intelligence (AI) algorithm system can be highly accurate for detecting five specific findings on chest radiography studies, according to South Korean researchers.
October 28, 2018
Deep learning spots urgent results on radiology reports
By Erik L. Ridley
Tuesday, November 27 | 10:30 a.m.-10:40 a.m. | SSG06-01 | Room N230BDeep learning and natural language processing can automatically detect urgent findings on free-text radiology reports, U.S. researchers will report in this scientific presentation.
October 28, 2018
Deep learning may yield sharply lower dose from DBT
By Erik L. Ridley
Monday, November 26 | 3:00 p.m.-3:10 p.m. | SSE23-01 | Room S502ABIn this scientific session, a multi-institutional team of researchers will share how deep-learning technology could lead to nearly 80% lower radiation dose to patients from digital breast tomosynthesis (DBT) studies.
October 28, 2018
AI enables CT screening for osteoporosis fracture risk
By Erik L. Ridley
Monday, November 26 | 3:00 p.m.-3:10 p.m. | SSE14-01 | Room E353CArtificial intelligence (AI) algorithms could enable screening for the risk of osteoporosis-attributed bone fracture by analyzing CT scans that are already being performed for other purposes, according to researchers from Switzerland.
October 28, 2018
Portable automated x-ray system targets tuberculosis
By Erik L. Ridley
Monday, November 26 | 11:50 a.m.-12:00 p.m. | SSC09-09 | Room E450AIn this talk, researchers will present a portable x-ray system and machine-learning image analysis application designed to make it easier to diagnose tuberculosis in developing and underdeveloped nations.
October 28, 2018
Deep learning can spot findings early on chest x-rays
By Erik L. Ridley
Monday, November 26 | 11:40 a.m.-11:50 a.m. | SSC09-08 | Room E450AResearchers from artificial intelligence software developer Qure.ai will share how their deep-learning algorithms can identify some abnormalities on chest radiographs even before they can be visualized by radiologists.
October 28, 2018
AI speeds up DBT reading time, helps find more cancers
By Erik L. Ridley
Monday, November 26 | 11:20 a.m.-11:30 a.m. | RC215-14 | Arie Crown TheaterIn this talk, researchers will report that the concurrent use of artificial intelligence (AI) software while interpreting digital breast tomosynthesis (DBT) screening exams leads to higher radiologist accuracy and much faster reading times.
October 28, 2018
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