Imaging Informatics: Page 332

Russian AI detects lung cancer on CT in 20 seconds

By Abraham Kim

Researchers from Russia have developed an artificial intelligence (AI) program called Doctor AI-zimov that is capable of identifying and marking lung nodules -- some as small as 2 mm -- on CT scans in under 20 seconds.

February 3, 2019

Funding for imaging AI companies tops $1.2B

By Simon Harris

Investor money continues to surge into start-up companies that are developing artificial intelligence (AI) solutions for medical imaging. But the nature of those investments is beginning to change as the AI market develops, according to Simon Harris of U.K. market research firm Signify Research.

January 31, 2019

AI can detect, localize fractures on wrist x-rays

By Erik L. Ridley

An artificial intelligence (AI) algorithm can both detect and show the position of fractures on wrist radiographs with a high level of sensitivity and specificity, according to research published online January 30 in the inaugural issue of the RSNA's new Radiology: Artificial Intelligence journal.

January 30, 2019

RSNA publishes 1st issue of new AI publication

By Wayne Forrest

The RSNA on January 30 published the first issue of its new Radiology: Artificial Intelligence online journal. The publication will feature emerging applications of machine learning and artificial intelligence (AI) in imaging across multiple disciplines.

January 29, 2019

Medicare's AUC/CDS mandate will begin next year

By Sandy Coffta

Starting January 1, 2020, your referring physicians will be required to use appropriate use criteria (AUC) and clinical decision support (CDS) when ordering imaging exams for Medicare patients. And if they don't, guess who doesn't get paid for the images you read? You. Sandy Coffta of Healthcare Administrative Partners explains.

January 29, 2019

Centerline submits 510(k) for navigation system

By AuntMinnie.com staff writers

Centerline Biomedical has submitted a 510(k) application with the U.S. Food and Drug Administration for its Intra-Operative Positioning System (IOPS), which the company sees as a potential alternative to fluoroscopy for intraoperative navigation.

January 29, 2019

SST Group signs Intermountain Healthcare

By AuntMinnie.com staff writers

Imaging informatics firm SST Group said it will install its radiation dose-monitoring software platform at Intermountain Healthcare.

January 28, 2019

3D printing helps separate rare case of conjoined twins

By AuntMinnie.com staff writers

Researchers from Pennsylvania used 3D printing and computer-aided intraoperative navigation to separate a pair of infant twins whose heads were fused together since birth, according to a report recently published online in the New England Journal of Medicine.

January 28, 2019

AI reveals cause of transient ischemic attack symptoms

By Erik L. Ridley

An artificial intelligence (AI) algorithm that analyzed free text in patient reports was better than existing risk models in predicting which symptomatic individuals were actually experiencing a transient ischemic attack, according to research published online January 17 in Stroke.

January 28, 2019

Attending radiologists need to bone up on AI

By Erik L. Ridley

To help ensure that medical students will still find radiology appealing, attending radiologists in academic departments need to stay informed about artificial intelligence (AI) technology and the exciting potential it offers for the specialty, according to an editorial published online January 24 in Academic Radiology.

January 27, 2019

Stanford launches huge dataset of chest x-rays for AI

By Erik L. Ridley

Researchers from Stanford University have released a massive dataset of more than 224,000 chest x-rays to be used for the development of artificial intelligence (AI) algorithms. The group has also launched a competition for developers of AI algorithms to test their models.

January 24, 2019

CAD boosts reader performance for breast ultrasound

By Kate Madden Yee

Using computer-aided diagnosis (CAD) with breast ultrasound improves the diagnostic performance of both less-experienced and experienced breast imagers, according to a study by researchers from South Korea that was published in the January issue of Medicine.

January 24, 2019

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