AI: Page 105

Swedish deep-learning consortium wins grant

By AuntMinnieEurope.com staff writers

A Swedish deep-learning consortium of academic institutions and vendors has won a support grant worth 500,000 Swedish kroner (52,000 euros) from a Swedish government-funded innovation agency.

April 11, 2017

Italians show CAD improves prostate biopsy targeting

An artificial intelligence-based computer-aided detection (CAD) system that analyzes prostate MR images for tumors improves the targeting of core biopsies for cancer diagnosis, according to Italian research presented at ECR 2017. With fine-tuning, the system could improve patient care.

April 10, 2017

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IR with CAD permits ultralow lung CT dose

Iterative reconstruction (IR) can improve lung nodule detection with 3D computer-aided detection (CAD) to the point where nodule detection using ultralow-dose CT is comparable with standard and low-dose exposures, according to researchers from Japan presenting at ECR 2017 in Vienna.

April 9, 2017

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The great enabler: Artificial intelligence in radiology

By Steve Holloway

Much has already been debated over the effect of artificial intelligence (AI) for radiology, and now the first products have started to enter the market. AI will not replace radiologists, but enable them, according to market analyst Stephen Holloway.

March 23, 2017

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CAD beats readers for subsolid lung nodules

VIENNA - A computer-aided detection (CAD) scheme outperformed experienced human readers in detecting subsolid nodules as well as cancers in data from more than 2,000 lung cancer screening subjects, researchers reported on Thursday at ECR 2017.

March 2, 2017

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Spanish group seeks to integrate CAD, PACS

By Erik L. Ridley

Computer-aided detection (CAD) software and PACS software may not always be integrated in the most user-friendly fashion. A Spanish research group hopes to change that with a new software platform that will make it easier for all hospitals in the region of Galicia to expand their use of CAD.

February 22, 2017

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Alzheimer's CAD uses deep networks to boost accuracy

Spanish researchers have built a technique for the early diagnosis of Alzheimer's disease based on the use of a deep-learning algorithm. The method replaces visual inspection of MRI and PET data with comprehensive image analysis of affected brain tissues that exploits their 3D nature.

February 22, 2017

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Machine learning in radiology targets efficiency

By Simon Harris

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.

February 5, 2017

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Prostate CAD boosts detection for most readers

CHICAGO - MRI-based computer-aided detection (CAD) can improve detection sensitivity for prostate cancer for most readers, while reducing reading time fourfold, according to a 29 November presentation at RSNA 2016.

November 30, 2016

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CAD with low-dose CT shows promise in lung

By Frances Rylands-Monk

New Swiss research shows that adding computer-aided detection (CAD) in ultralow-dose CT significantly improves sensitivity for detecting solid pulmonary nodules. This may be a crucial step in the early detection of lung cancer and lead to better patient outcomes.

November 6, 2016

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Texture classification eases lung CT analysis

Dutch researchers have developed a semiautomatic method for classifying abnormal lung textures that reduces the time taken to analyze thoracic CT scans. They found the interactive labeling protocol is more efficient to use than a fully automated alternative.

September 4, 2016

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How low can CT radiation dose go for lung screening?

We're making progress in the race to reduce radiation dose for CT lung cancer screening to ever-lower levels. But as dose drops, image noise grows. Fortunately, researchers are refining image processing techniques that can improve image quality while driving CT dose down to the level of a chest x-ray.

August 17, 2016

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