How to differentiate glioblastoma from brain metastasis
January 17, 2019 -- Researchers from Israel have shown the clinical potential of using automatic classification based on a single contrast of MRI to differentiate glioblastoma from brain metastasis. They've published their findings online on 11 January in the Journal of Magnetic Resonance Imaging.  Discuss
Meet the finalists for EuroMinnies 2019
January 16, 2019 -- Competition has been intense for the EuroMinnies,'s campaign to recognize the best and brightest in European medical imaging. We received dozens of nominations, but our expert panel has now whittled down the initial list of 97 candidates to 16 finalists in eight categories. Find out who made the final cut.  Discuss
Machine learning, fMRI unlock cellular brain properties
January 11, 2019 -- The combination of machine learning and functional MRI (fMRI) can reveal the cellular properties of brain regions, offering potential for noninvasive assessment of treatments for neurological diseases and the use of individualized therapies, according to research published online January 9 in Science Advances.  Discuss
Deep learning enables automatic radiotherapy planning
January 10, 2019 -- A multi-institutional team has developed an automated treatment planning system for intensity-modulated radiation therapy based on 3D dose prediction and dose distribution-based optimization. The researchers demonstrated that the deep-learning-based method shows promise for generating highly individualized radiotherapy plans optimized for precision and quality.  Discuss
Austrians spell out how to succeed with machine learning
January 7, 2019 -- It's vital for radiologists to understand the basic principles of machine learning and the differences between supervised and unsupervised learning, as well as to appreciate the importance of data quality, according to award-winning research from Austria.  Discuss
Where is AI making the difference in radiology today?
January 4, 2019 -- Artificial intelligence (AI) promises to reduce costs and improve clinical outcomes, and it can provide useful support tools that can be integrated into current workflow, PACS, medical imaging hardware, and healthcare clouds, writes industry expert Gene Saragnese.  Discuss
Radiology must stress patient contact to lure trainees
December 19, 2018 -- To win the hearts and minds of trainees and reassure them about the impact of artificial intelligence, radiologists must highlight patient interaction and how they contribute to clinical management, delegates heard at the annual leadership meeting of the European Society of Radiology, recently streamed live from Berlin.  Discuss
Adding CAD to DBT can cut reading time by 14%
December 18, 2018 -- The addition of computer-aided detection (CAD) to digital breast tomosynthesis (DBT) interpretation can reduce reading time by 14% -- for both beginner and experienced readers, according to a study published online on 13 December in European Radiology.  Discuss
Machine learning can generate realistic breast phantoms
December 17, 2018 -- Dutch and Italian researchers have used machine-learning algorithms to generate "superresolution" digital breast phantoms. They are now working to develop dynamic contrast-enhanced dedicated breast CT, which may prove useful for many stages of breast cancer care.  Discuss
AI can have major impact on imaging cyberattacks
December 7, 2018 -- Artificial intelligence (AI) algorithms can be used to thwart cyberattacks on medical imaging equipment, but they may also be used to alter images, making attacks very difficult for radiologists to detect, according to new analysis presented at RSNA 2018 in Chicago.  Discuss