AI: Page 91

AI predicts myocardial infarction, death in patients at risk of CAD
By Erik L. Ridley
By analyzing clinical and hybrid imaging data, an artificial intelligence (AI) algorithm can predict which patients will go on to experience myocardial infarction or death during long-term follow-up, according to research from Finland presented at this week's International Conference on Nuclear Cardiology and Cardiac CT in Lisbon.
May 12, 2019
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How to train the medical physicists of the future
By Tami Freeman, PhD
At the recent European Society for Radiotherapy and Oncology meeting in Milan, a debate examined the skills that medical physicists will require in 10 years' time and asked how training for medical physicists specializing in radiation oncology should develop over the next decade. Five expert speakers presented their thoughts -- and then let the audience decide.
May 9, 2019
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U.K. issues new advice on gadolinium safety | AI enables gadolinium-free scans | AI-based FFR-CT software performs well
By Philip Ward
May 7, 2019
iCAD establishes French subsidiary
By AuntMinnieEurope.com staff writers
Computer-aided detection and radiation therapy firm iCAD has opened a subsidiary in Paris to launch its deep-learning ProFound artificial intelligence platform in Europe.
May 7, 2019
AI-based FFR-CT software offers robust performance
By Erik L. Ridley
Different CT tube voltage levels didn't hinder the performance of a prototype artificial intelligence (AI) algorithm for estimating fractional flow reserve on coronary CT angiography (FFR-CT), according to a study by a multinational research group published on 30 April in the American Journal of Roentgenology.
May 7, 2019
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AI can help facilitate gadolinium-free cardiac MRI
By Erik L. Ridley
Chinese and U.K. investigators have developed an artificial intelligence (AI) algorithm that can detect chronic myocardial infarction on noncontrast-enhanced cardiac cine MRI. This might avoid the need for gadolinium-based contrast, according to an article posted online on 30 April in Radiology.
May 6, 2019
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New breast CAD advances detection with MRI, PET
By Wayne Forrest
Researchers from Austria have developed a new computer-aided segmentation and diagnostic (CAD) algorithm to distinguish between cancerous and benign breast lesions using PET and MRI data. Their study was published online on 27 April in European Radiology Experimental.
May 2, 2019
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Canon installs CT with AI in Belgium
By AuntMinnieEurope.com staff writers
Canon Medical Systems has installed its Aquilion One Genesis, a CT scanner with artificial intelligence (AI) capabilities, at General City Hospital in Aalst, Belgium.
May 1, 2019
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Voice recognition: Informatics experts give their view
By Frances Rylands-Monk
How much of an effect do voice recognition programs have on radiologists' efficiency? How can the technology be improved? The jury is still out on these systems, it seems, and some health IT specialists remain convinced there is significant room for improvement.
April 30, 2019
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RaySearch highlights AI technology at ESTRO
By AuntMinnieEurope.com staff writers
Radiation therapy software developer RaySearch Laboratories said it will show a number of artificial intelligence (AI) features on its RayStation treatment planning software at the European Society for Radiotherapy and Oncology (ESTRO) meeting this week in Milan.
April 25, 2019
ESR, ESOR log nearly 6K online registrants for AI event
By AuntMinnieEurope.com staff writers
The European Society of Radiology (ESR) and the European School of Radiology (ESOR) reported that more than 5,800 individuals from 140 countries registered for a livestream of the groups' artificial intelligence (AI) educational event held in Barcelona, Spain, on 5-6 April.
April 21, 2019
AI can segment white-matter hyperintensities on MRI
By Erik L. Ridley
Artificial intelligence (AI) algorithms are capable of segmenting cerebral white-matter hyperintensities of presumed vascular origin on brain MR images as well as or better than human observers, enabling more reliable quantification of these lesions, according to the results of a recent AI developer challenge.
April 21, 2019
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