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Industry News

Image: The Vscan handheld ultrasound system (Photo courtesy of GE Healthcare).

Growing Inclination Towards Handheld Ultrasound Scanners for POC

The global handheld ultrasound scanners market was valued at USD 62.2 million in 2017 and is projected to grow at a CAGR of 17.0% from 2018 to 2026. More...
01 Mar 2019

RSNA Debuts New Journal Focused on AI in Radiology

The Radiological Society of North America has published the first issue of its new online journal, Radiology: Artificial Intelligence. More...
20 Feb 2019
Image: The CheXpert dataset of chest X-rays is designed for automated chest X-ray interpretation (Photo courtesy of Stanford University School of Medicine).

Researchers Publish Chest X-Ray Dataset to Train AI Models

Researchers from the Stanford University School of Medicine have published CheXpert, a large dataset of chest X-rays and competition for automated chest X-ray interpretation, which features uncertainty labels and radiologist-labeled reference standard evaluation sets. More...
20 Feb 2019

ECR 2019 Debuts Artificial Intelligence Exhibition

The Artificial Intelligence Exhibition (AIX) made its grand debut at the 2019 European Congress of Radiology (ECR) annual meeting held on Feb. 27-March 3 in Vienna, Austria, bringing AI to the heart of the technical exhibition. More...
20 Feb 2019
Image: A screenshot from the ChestEye radiology imaging suite (Photo courtesy of Oxipit).

AI-based Software for Chest X-rays Receives CE Certification

Oxipit, a provider of AI-based medical imaging solutions, has received CE certification for its ChestEye radiology imaging suite. More...
20 Feb 2019

Alliance for AI in Healthcare Formally Launched

The Alliance for Artificial Intelligence in Healthcare was formally launched following the inaugural meeting of its 22-person board of directors. More...
20 Feb 2019
Image: Examples of correctly and incorrectly prioritized radiographs. (a) Radiograph was reported as showing large right pleural effusion (arrow). This was correctly prioritized as urgent. (b) Radiograph reported as showing “lucency at the left apex suspicious for pneumothorax.” This was prioritized as normal. On review by three independent radiologists, the radiograph was unanimously considered to be normal. (c) Radiograph reported as showing consolidation projected behind heart (arrow). The finding was missed by the artificial intelligence system, and the study was incorrectly prioritized as normal (Photo courtesy of RSNA).

New AI System Prioritizes Chest X-Rays Containing Critical Findings

A team of UK researchers has trained an artificial intelligence (AI) system to interpret and prioritize abnormal chest X-rays with critical findings, thereby creating the potential for reducing the backlog of exams and bringing urgently needed care to patients more quickly. More...
07 Feb 2019
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MedImaging Industry News channel updates the reader on mergers and takeovers, on cooperative agreements and on trends in the healthcare imaging industry worldwide.
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