SIIM: AI exploits CT sinogram data to find lung nodules
June 28, 2019 -- DENVER - An artificial intelligence (AI) algorithm can accurately detect lung nodules on CT by analyzing both the reconstructed image and the raw sinogram data, according to research presented Thursday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.  Discuss
Video from SIIM 2019: Dr. Charles Kahn on safe, effective, and humane AI
June 27, 2019 -- DENVER - It's important to test radiology artificial intelligence (AI) algorithms thoroughly with a rigorous methodological approach prior to adoption, said Dr. Charles Kahn of the University of Pennsylvania in a video interview Thursday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.  Discuss
Video from SIIM 2019: Dr. Jim Whitfill on AI, enterprise imaging, and patient engagement
June 27, 2019 -- DENVER - A new artificial intelligence (AI) challenge aimed at spurring development of algorithms for detecting pneumothorax on x-rays is among the highlights at the Society for Imaging Informatics in Medicine (SIIM) annual meeting, said SIIM Chair Dr. Jim Whitfill in a video interview.  Discuss
SIIM: Automated reporting tool optimizes CT lung screening
June 27, 2019 -- DENVER - A computer-assisted reporting tool integrated directly into the radiology workflow bolstered the ability of clinicians to distinguish benign from malignant lung nodules on CT lung screening exams in a new study, presented on Wednesday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.  Discuss
SIIM: AI can detect diseases of cerebral hemispheres
June 27, 2019 -- DENVER - An artificial intelligence (AI) algorithm performed as well as an academic neuroradiologist for identifying diseases in the cerebral hemispheres on brain MRI scans in a new study, presented Wednesday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.  Discuss
AI can help predict heart attacks, death on CCTA
June 25, 2019 -- An artificial intelligence (AI) algorithm can predict heart attacks and death better on coronary CT angiography (CCTA) studies than risk-assessment methods such as the Coronary Artery Disease Reporting and Data System, according to research published online June 25 in Radiology.  Discuss
AI can improve reproducibility of radiomics in CT
June 24, 2019 -- An artificial intelligence (AI) algorithm may be able to help overcome one of the biggest issues limiting the clinical use of radiomics in CT -- the low reproducibility of quantitative imaging features on images from different reconstruction algorithms, according to research published online June 18 in Radiology.  Discuss
CAD improves ABUS novice reader performance
June 21, 2019 -- Computer-aided detection (CAD) systems help less experienced readers improve their performance in detecting breast cancer on automated breast ultrasound (ABUS) screening exams, according to a study published online June 18 in Radiology.  Discuss
AI enhances diagnostic performance in mammography
June 20, 2019 -- An artificial intelligence (AI) algorithm that analyzes mammograms and patient clinical information in electronic health records can accurately diagnose breast cancer -- even in many cases in which cancers are missed by radiologists, according to research published online June 18 in Radiology.  Discuss
Practical Considerations of AI: Part 4 -- Adoption
June 19, 2019 -- PACSman Michael J. Cannavo explores some potential applications for artificial intelligence (AI) in radiology and offers advice on how institutions can get started on the path to implementing the technology in part 4 of his Practical Considerations of AI series.  Discuss