AI-based model enhances diagnosis of brain MRI exams
August 7, 2019 -- An artificial intelligence (AI)-based model that mimics a radiologist's image interpretation process can provide automated diagnosis of brain MRI exams at a level comparable to an academic neuroradiologist, according to researchers from the Hospital of the University of Pennsylvania in Philadelphia. Read More
AI algorithm could reduce wrong-side medical mistakes
August 5, 2019 -- Wrong-side medical procedures are among the most devastating -- and preventable -- errors in healthcare. But what if you could stop wrong-side mistakes simply by analyzing radiographs with a machine-learning algorithm? A research group gave the idea a try and described their findings in the August edition of the Journal of Digital Imaging. Read More
AI accurately estimates bone age on 3D hand MRI
August 5, 2019 -- An artificial intelligence (AI) algorithm can estimate bone age in children and adolescents from analysis of a 3D hand MRI exam with a very high level of accuracy, according to research published online July 31 in Medical Image Analysis. What's more, it can also perform well on wrist radiographs. Read More
AI enhances radiologist performance for DBT
July 30, 2019 -- General radiologists and breast imaging subspecialists can both benefit significantly from reading digital breast tomosynthesis (DBT) studies concurrently with artificial intelligence (AI) software, reported researchers from the University of Pennsylvania and computer-aided detection firm iCAD. Read More
AI algorithm helps prioritize urinary stones on CT
July 26, 2019 -- An artificial intelligence (AI) model was highly accurate for detecting urinary tract stones on unenhanced CT studies, enabling priority review of these cases by radiologists and referring physicians in a new study, published online July 24 in Radiology: Artificial Intelligence. Read More
AI can glean cancer outcomes from radiology reports
July 25, 2019 -- Artificial intelligence (AI) algorithms can accurately identify the presence of cancer and changes in disease burden described on radiology reports, potentially paving the way for personalized medicine on a large-scale basis, according to research published online July 25 in JAMA Oncology. Read More
Practical Considerations of AI: Part 5 -- Reality check
July 25, 2019 -- In part 5 of his Practical Considerations of AI series, PACSman Michael J. Cannavo offers a reality check on the current state of the market for radiology artificial intelligence (AI) technology and shares his thoughts on how vendors can stand out in the crowded marketplace. Read More
Special Feature
Top 10 questions to ask when buying radiology AI software
Top 10 questions to ask when buying radiology AI software

What issues should you consider when buying artificial intelligence (AI) software for radiology? A multinational team of authors has produced new guidelines -- including a list of top 10 questions to ask -- aimed at helping guide prospective purchasers. Learn more