JFR: French AI initiative to play major role in algorithm validation
October 11, 2019 -- The French national radiology congress (JFR) kicked off officially on Friday with a strengthened focus on artificial intelligence (AI) and machine learning. The discussion included an update on an ambitious project to create a national ecosystem in France for AI algorithm development.  Discuss
European societies join in ethical AI statement
October 1, 2019 -- The European Society of Radiology and the European Society of Medical Imaging Informatics have collaborated with five other radiology and imaging informatics organizations to produce a new statement calling for codes of ethics and practice governing the use of artificial intelligence (AI).  Discuss
Lancet: Many AI studies lack quality and depth
September 25, 2019 -- Artificial intelligence (AI) can detect diseases from medical imaging with similar levels of accuracy as healthcare professionals, according to a new meta-analysis published on 24 September by Lancet Digital Health. However, the authors admit that only a tiny proportion of studies were of sufficient quality to be included in the analysis.  Discuss
5 facts to know about the JFR president
September 25, 2019 -- Dr. Catherine Adamsbaum is the president of France's national radiology congress (JFR), which begins on 11 October. How did she get to be where she is today, and where does she see radiology heading? In this profile, we paint a fuller picture of the person behind this year's presidency.  Discuss
Can an AI algorithm fool radiologists?
September 23, 2019 -- A type of artificial intelligence (AI) algorithm called a generative adversarial network can learn to insert suspicious lesions into -- or remove them from -- mammograms, but the technology isn't yet capable of fooling radiologists, according to Swiss research posted online on 10 September in the European Journal of Radiology.  Discuss
It's official: AI will cause major change
September 19, 2019 -- The findings of a Dutch survey confirm that medical professionals expect massive changes to practice driven by artificial intelligence (AI) in the near future. This attitude bodes well for future AI implementation, but much more needs to be done to bridge the gap between promising research and clinical integration, the authors say.  Discuss
AI model classifies aortic dissection, rupture on CT
September 17, 2019 -- An artificial intelligence (AI) algorithm can accurately detect aortic dissection and rupture on postcontrast CT images, enabling radiologists to prioritize interpretation of these emergent cases, stated the authors of an article published online on 12 September in the Journal of Digital Imaging.  Discuss
ESR seeks to demystify biomarkers
September 9, 2019 -- The European Society of Radiology (ESR) has issued a detailed set of recommendations designed to promote the use of validated imaging biomarkers as clinical decision-making tools. Prof. Nandita deSouza explains the rationale behind this initiative.  Discuss
Dutch make progress on how to achieve AI adoption
September 3, 2019 -- How can medical imaging adopt artificial intelligence (AI) swiftly and effectively? Which factors tend to cause implementation delays? New research involving seven Dutch radiology departments has tried to provide answers to these burning questions.  Discuss
Radiology business intelligence takes root in Europe
August 21, 2019 -- Which factors are influencing the adoption of new business intelligence tools that aim to provide more focused analytics to help improve performance and profitability? Industry expert Ulrik Kristensen, PhD, addresses this key question in the next phase of digitalizing medical imaging.  Discuss