IBM Watson deal puts MedyMatch on the map
March 16, 2017 -- Artificial intelligence developer MedyMatch Technology scored a major coup with the announcement of a strategic relationship on Thursday with IBM Watson Health. Under the deal, Watson users will have access to MedyMatch's decision-support application for analyzing noncontrast head CT studies.  Discuss
Deep learning can provide first read of chest x-rays
March 10, 2017 -- A computer-aided detection system developed using deep-learning technology can perform an initial review of chest x-rays, helping radiologists to prioritize interpretation of cases that are more likely to be abnormal, according to a presentation last week at ECR 2017.  Discuss
Virtual radiologist stands ready to answer questions
March 9, 2017 -- How convenient would it be to have access in the palm of your hand to an on-call radiologist? Researchers hope to achieve that goal with a chatbot app that can answer questions from healthcare providers. They unveiled the app at this week's Society of Interventional Radiology 2017 annual meeting.  Discuss
Neural networks read mammograms as well as radiologists
March 3, 2017 -- VIENNA - Deep artificial neural networks can read mammograms as well as radiologists, according to research from Switzerland presented at ECR 2017 on Thursday. Neural networks can also be trained with a relatively small amount of data, the group found.  Discuss
Machine learning in radiology targets efficiency
February 16, 2017 -- While artificial intelligence is unlikely to replace radiologists any time soon, a new breed of software applications based on machine learning is poised to take on many of their tedious, repetitive, and time-consuming tasks -- improving productivity and freeing up more time.  Discuss
Machine-learning analysis of heart motion predicts survival
February 9, 2017 -- A machine-learning survival model based on 3D cardiac motion predicts outcomes beyond conventional risk factors in patients with pulmonary hypertension, according to a new study from the U.K. and Singapore. Semiautomated analysis of the cine MR images could potentially be used to guide patient management.  Discuss
Algorithm distills findings in radiology reports
January 20, 2017 -- With help from machine learning, a natural language processing algorithm can automatically extract and characterize findings in radiology reports, potentially helping clinicians to better understand and quickly ascertain important results, according to research published online in the Journal of Digital Imaging.  Discuss
Deep learning helps spot CT exams with critical findings
December 20, 2016 -- Deep-learning technology can be a useful tool for identifying cases that contain critical imaging findings, potentially expediting the interpretation of these exams and the communication of results, according to a presentation at the recent RSNA 2016 meeting in Chicago.  Discuss
Machine learning improves FFR-CT for coronary ischemia
December 14, 2016 -- In results that could potentially shake up the heart imaging status quo, a machine learning algorithm slightly outperformed a more traditional algorithm in analyzing fractional flow reserve CT (FFR-CT) studies for detecting signs of ischemic coronary lesions, according to a presentation at the recent RSNA 2016 meeting in Chicago.  Discuss
Should radiologists and pathologists unite to master AI?
December 6, 2016 -- The rise of artificial intelligence (AI) will undoubtedly lead to many unpredictable developments in the years to come, but one could be the unification of radiology and pathology into a single medical discipline, according to a provocative new article in the Journal of the American Medical Association.  Discuss