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Industry News

Image: The global market for advanced CT scanners is expected to reach USD 2.9 billion by 2027 (Photo courtesy of Persistence Market Research).

Global CT Scanner Market to Reach USD 2.9 Billion by 2027

The global market for advanced Computed Tomography (CT) scanners is estimated to be worth around USD 1.30 billion in 2017 and is expected to register a high CAGR of 7.9% to reach USD 2.9 billion by 2027. More...
01 Mar 2018
Image: The Sonialvision G4 R/F system (Photo courtesy of Shimadzu).

Image Processing Technology Enhances Sonialvision Exams

Shimadzu Corporation (Kyoto, Japan), which manufactures diagnostic imaging equipment, has further enhanced the range of examinations covered by its Sonialvision G4 R/F system. Equipped with the largest available FPD at 17 inches (43 x 43 cm) and Shimadzu’s digital image processing engine SUREengine-Advance, the Sonialvision G4 covers the widest possible range of examinations, providing inter-departmental hospital capability. More...
01 Mar 2018
Image: The new Trinias series unity edition angiography system is available in 10 different models that support interventions in all regions of the body (Photo courtesy of Shimadzu).

New Trinias Series Unity Edition Angiography System Introduced

Shimadzu Corporation (Kyoto, Japan), a manufacturer of diagnostic imaging equipment, has introduced the new Trinias series unity edition angiography system in 10 different ceiling- or floor-mounted, as single- or bi-plane models that support interventions in all regions of the body. “Unity” stands for “Unlimited Intelligent Technology” and covers the cardiac, neurological, abdominal and peripheral regions by utilizing cutting-edge image-processing technology, which fully communicates with the multi-functional examination table to promote low radiation exposure and even more qualified device visualization. More...
01 Mar 2018
Image: The MobileDaRt Evolution MX8 version digital mobile X-ray system (Photo courtesy of Shimadzu).

Shimadzu Releases Digital Mobile X-ray System

Diagnostic imaging equipment manufacturer, Shimadzu Corporation (Kyoto, Japan) has released the new MobileDaRt Evolution MX8 version digital mobile X-ray system, which features the company’s first telescoping support column for increasingly convenient drivability and improved forward visibility. Designed to provide multi-faceted support, the MX8 also a features a large completely flat monitor screen, a lockable Flat Panel Detector (FPD) housing compartment, an extensive selection of options and improved operability. More...
01 Mar 2018
Image: The software engine named Transpara DBT is intended to assist radiologists in reading digital breast tomosynthesis and mammography exams (Photo courtesy of ScreenPoint Medical).

AI-Driven Software Assists Radiologists in Reading Exams

An Artificial Intelligence (AI)-driven decision support software engine, which assists radiologists in reading digital breast tomosynthesis (DBT) and mammography exams on breast-reading workstations, was launched at the European Congress of Radiology (ECR), Vienna, Austria, February 28 – March 4, 2018. The software engine named Transpara DBT was launched by ScreenPoint Medical, which develops and markets image analysis technology and services for automated reading of mammograms and digital breast tomosynthesis exams, exploiting Big Data, Deep Learning and the latest developments in AI. More...
01 Mar 2018
Image: When Oncology AI is used in combination with the company’s web-based offering, clinicians can measure and track tumors or potential cancers and apply radiological standards (Photo courtesy of Arterys).

AI Oncology Imaging Suite Gains FDA Clearance

Arterys Inc., a provider of intelligent cloud-based medical imaging software solutions, has received its fifth 510(k) clearance from the U.S. Food and Drug Administration (FDA) for its Arterys Oncology AI suite. More...
27 Feb 2018

AI Applications Predict Part Failures in Imaging Modalities

Machine data analytics company, Glassbeam, Inc. has built Artificial Intelligence (AI) applications powered by Machine Learning (ML) models for predicting part failures in expensive imaging modalities. The new applications delivered in real time through cloud-based dashboards and rules-based alerts are expected to change the way equipment maintenance is currently performed by in-house support staff at healthcare providers, independent service organizations (ISOs), and OEMs. More...
23 Feb 2018
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106 (653.02848815918): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets_archive AS dp WHERE dp.id = 294803276 LIMIT 1
107 (180.00602722168): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294802958 LIMIT 1
108 (102.99682617188): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294802958 LIMIT 1
109 (!!!!! 5686.0446929932): SELECT name FROM jos_deeppockets WHERE id=217
110 (!!!!! 8024.9309539795): SELECT name FROM jos_deeppockets WHERE id=217
111 (!!!!! 5455.0170898438): SELECT *, DATE_FORMAT(publish_up,'%d %b %Y') AS date_publish_up, DATE_FORMAT(publish_down,'%d %b %Y') AS date_publish_down FROM jos_events WHERE state=1 AND publish_up > NOW() and extra_info REGEXP '((;)|(^))217((;)|($))' AND catid IN (0,110) ORDER BY publish_up ASC LIMIT 3
112 (!!!!! 3279.9243927002): SELECT *, DATE_FORMAT(publish_up,'%d %b %Y') AS date_publish_up, DATE_FORMAT(publish_down,'%d %b %Y') AS date_publish_down FROM jos_events WHERE state=1 AND publish_up > NOW() and extra_info REGEXP '((;)|(^))217((;)|($))' AND catid IN (0,110) ORDER BY publish_up ASC LIMIT 3
113 (!!!!! 14269.828796387): TRUNCATE TABLE jos_trademed_module
114 (!!!!! 6752.0141601562): SELECT jos_item.* FROM jos_item INNER JOIN jos_number ON jos_item.numberID=jos_number.id WHERE 1=1 AND (jos_item.imgMini<>'') AND jos_item.type='L' AND jos_item.numberID= ( SELECT jos_number.id FROM jos_number WHERE jos_number.journalID IN (10) and jos_number.id in (select distinct jos_number.id from jos_number join jos_item on jos_item.numberid=jos_number.id where jos_item.type='P') ORDER BY (CONVERT(SUBSTRING(issue,1,2),SIGNED) + (CONVERT(SUBSTRING(issue,3,2),SIGNED)*100)) DESC LIMIT 0,1 ) ORDER BY RAND() DESC LIMIT 6
115 (!!!!! 7758.1405639648): select distinct links.* from jos_textlinks links join jos_textlinks_placement placement on links.id=placement.link_id where journal_id=(10) and (channel_id=217 or channel_id is null)
116 (!!!!! 8002.9964447021): select distinct links.* from jos_textlinks links join jos_textlinks_placement placement on links.id=placement.link_id where journal_id=(10) and (channel_id=217 or channel_id is null)
117 (!!!!! 7798.9101409912): SELECT livesite FROM jos_dp_categories WHERE id=10 AND published='1' LIMIT 1
118 (!!!!! 8002.9964447021): select jos_twitters.link from jos_twitters where cat=10
119 (!!!!! 6407.0224761963): select jos_facebook.link from jos_facebook where cat=10
120 (!!!!! 1623.8689422607): select jos_google_plus.link from jos_google_plus where cat=10
121 (336.88545227051): select jos_linkedin.link from jos_linkedin where cat=10