AI algorithm matches radiologists in breast screening exams
December 14, 2017 -- How does an artificial intelligence (AI) algorithm compare to radiologists when it comes to interpreting screening mammography exams? Their performances were fairly comparable, according to research presented at the recent RSNA 2017 meeting in Chicago.  Discuss
AI assesses cardiovascular risk on routine chest CT
December 12, 2017 -- An artificial intelligence (AI) algorithm can automatically quantify coronary and other arterial calcification from routine chest CT studies, enabling cardiovascular risk assessment to be performed on these patients, Dutch researchers reported at the RSNA 2017 meeting.  Discuss
German innovation supports structured data mining
December 8, 2017 -- Structured reporting offers the prospect of speedier reporting throughput, but it also has major implications for epidemiology due to its capacity to store easily accessible data, notably numerical measurements, according to a German expert.  Discuss
Deep learning can quantify CAC on low-dose CT
November 29, 2017 -- CHICAGO - A deep-learning algorithm can automatically calculate coronary artery calcium (CAC) scores from lung cancer screening CT exams and facilitate risk stratification in these patients, according to research presented on Tuesday at RSNA 2017.  Discuss
EuSoMII: AI's on cusp of deployment in cancer screening
November 22, 2017 -- Artificial intelligence (AI) promises to transform radiological reading, and the imaging community must gear up for revolutionary diagnostic tools far removed from today's visual representations, a U.K. expert said at the European Society of Medical Imaging Informatics (EuSoMII) meeting.  Discuss
EuSoMII: Radiologists, AI must share control of data
November 20, 2017 -- While Hollywood portrays dystopias in which artificial intelligence (AI) has rendered humans obsolete, the truth may not be quite as grim if imaging can harness the power of machine learning, according to research presented on 18 November at the European Society of Medical Imaging Informatics (EuSoMII) meeting in Rotterdam, the Netherlands.  Discuss
Quality: How teleradiology firms can make a difference
November 15, 2017 -- Around 40% of radiologists in the U.K. National Health Service (NHS) are not having their reporting checked, and this is one of the greatest weaknesses of NHS radiology when it comes to quality, a leading teleradiologist told delegates at this month's British Institute of Radiology annual congress.  Discuss
BIR: How machine learning can cut false positives
November 7, 2017 -- LONDON - Deep artificial neural networks show comparable sensitivity versus radiologists, and they have great future potential to reduce false positives and patient distress in mammography, a Swiss researcher said on 3 November at the annual congress of the British Institute of Radiology (BIR).  Discuss
Is medical imaging data ready for artificial intelligence?
October 31, 2017 -- Unless you've been shut in a darkened room, you'll have heard about the incoming tsunami of artificial intelligence (AI) algorithms, writes Dr. Hugh Harvey in a special column. But he fears the imaging AI landscape is like the Wild West, and it badly needs a sheriff in town.  Discuss
QA system enhances radiologist peer review in Russia
October 19, 2017 -- A regional radiology quality assurance (QA) system that features peer review by remote experts has improved the process of monitoring the performance of radiologists at government clinics in Moscow. Plus it's lowered imaging cases with discrepancies.  Discuss