Ultralow-dose CT with CAD helps detect lung nodules
August 1, 2018 -- An ultralow-dose CT protocol involving computer-aided detection (CAD) matched the accuracy of standard CT for identifying lung nodules at just 10% of the radiation dose of a standard scan, according to an article published online July 25 in the Journal of Thoracic Imaging.  Discuss
Can AI enhance the utility of breast conebeam CT?
July 30, 2018 -- An artificial intelligence (AI) algorithm for breast conebeam CT (CBCT) studies can accurately differentiate between benign and malignant breast lesions, potentially improving the real-world performance of radiologists reading CBCT images, according to a Web-exclusive paper in the August issue of the American Journal of Roentgenology.  Discuss
CAD software speeds up ABUS interpretations
July 26, 2018 -- Computer-aided detection (CAD) software based on deep-learning technology can significantly reduce interpretation times for screening automated breast ultrasound (ABUS) studies without negatively affecting accuracy, according to research published in the August issue of the American Journal of Roentgenology.  Discuss
What is the Twittersphere saying about radiology AI?
July 25, 2018 -- Tweets that discuss the use of artificial intelligence (AI) in radiology are overwhelmingly favorable and mostly reflect the growing opinion that AI will not eliminate the jobs of radiologists, according to research published online July 23 in Current Problems in Diagnostic Radiology.  Discuss
CAR publishes white paper on artificial intelligence
July 25, 2018 -- Artificial intelligence (AI) in radiology will enable researchers and radiologists to detect previously unseen information in medical images and better inform clinical decision-making via computer-assisted reporting, according to a new white paper on AI in radiology from the Canadian Association of Radiologists (CAR).  Discuss
NIH issues huge database of CT scans for AI testing
July 20, 2018 -- Following its recent release of a massive database of chest x-rays, the U.S. National Institutes of Health (NIH) has now made nearly 10,600 CT scans publicly available to support the development and testing of artificial intelligence (AI) algorithms for medical applications.  Discuss
AI algorithm generates 'artificial' medical images
July 10, 2018 -- Researchers from Canada have developed an artificial intelligence (AI) algorithm capable of generating "artificial" x-ray images that look just like the real thing. The artificial images can be used to train other AI algorithms in analyzing real medical images.  Discuss
Can deep learning monitor lesions on F-18 NaF PET/CT?
July 5, 2018 -- Deep learning can classify bone lesions found on F-18 sodium fluoride (NaF) PET/CT exams, potentially enabling monitoring of individual lesions and faster interpretation times, according to research presented recently at the Society of Nuclear Medicine and Molecular Imaging annual meeting in Philadelphia.  Discuss
How will machine learning affect radiology practice?
June 29, 2018 -- While some barriers still need to be cleared, machine-learning technologies are rapidly being developed for a variety of clinical applications in medical imaging and are poised to significantly affect radiology practice and patient care, according to an article published online June 26 in Radiology.  Discuss
Group uses AI to assess mammo interpretation bias
June 29, 2018 -- Researchers from Oak Ridge National Laboratory in Oak Ridge, TN, have used artificial intelligence (AI) technology to analyze how radiologists read mammograms, according to research published in the July issue of the Journal of Medical Imaging.  Discuss
Special Feature
Video from RSNA 2019: Dr. Paul Chang on AI and radiology
Video from RSNA 2019: Dr. Paul Chang on AI and radiology

Dr. Paul Chang of the University of Chicago shares his views on how recent changes in artificial intelligence promise to reshape medical imaging. Learn more

Machine Learning for Healthcare (MLHC)
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August 27-30
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