Imaging Informatics: Page 358

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
Deep learning elevates mammography CAD performance
By Erik L. Ridley
Monday, November 26 | 11:10 a.m.-11:20 a.m. | RC215-13 | Arie Crown TheaterMammography computer-aided detection (CAD) software based on deep learning can perform comparably to radiologists in detecting breast cancer and at a higher level than traditional mammography CAD applications, according to Dutch researchers.
October 28, 2018
AI taps prognostic power of CT lung cancer screening
By Erik L. Ridley
Monday, November 26 | 10:30 a.m.-10:40 a.m. | SSC03-01 | Room E451ABy analyzing CT lung cancer screening exams, an artificial intelligence (AI) algorithm can predict the likelihood of five other major diseases, researchers from California will report in this presentation.
October 28, 2018
Free-text reports boost AI performance in chest x-rays
By Erik L. Ridley
Sunday, November 25 | 11:55 a.m.-12:05 p.m. | SSA12-08 | Room S406BA team from the U.S. National Institutes of Health (NIH) will describe how using free-text radiological reports in training an artificial intelligence (AI) framework can improve performance in classifying multiple results on chest radiographs.
October 28, 2018
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