Imaging Informatics: Page 366

C-MIMI: AI automatically generates radiology impressions

By Abraham Kim

SAN FRANCISCO - A deep-learning artificial intelligence (AI) algorithm can automatically summarize the key findings of radiology reports for x-ray images nearly as well as radiologists can, according to a Monday presentation at the Conference on Machine Intelligence in Medical Imaging (C-MIMI).

September 11, 2018

Fujifilm reaffirms provision of PACS for ACR courses

By AuntMinnie.com staff writers

Fujifilm Medical Systems USA said it will continue to provide its Synapse PACS and Synapse 3D software for American College of Radiology (ACR) Education Center courses.

September 11, 2018

C-MIMI: Radiologists 'swarm' with AI to detect pneumonia

By Erik L. Ridley

Are radiologists and artificial intelligence (AI) better together than apart? The answer is yes, at least for diagnosing pneumonia on chest x-rays, according to research presented on Monday at the 2018 Conference on Machine Intelligence in Medical Imaging (C-MIMI) in San Francisco.

September 10, 2018

C-MIMI: FDA readies program to speed software reviews

By Kate Madden Yee

SAN FRANCISCO - The U.S. Food and Drug Administration (FDA) wants to make it easier for software developers to get regulatory clearance for their products with a new approach similar to the precertification program used for airline travelers, according to a presentation delivered at the Conference on Machine Intelligence in Medical Imaging (C-MIMI).

September 10, 2018

Can Tetris inspire AI for MRI breast cancer detection?

By AuntMinnie.com staff writers

Borrowing concepts used in the classic computer game Tetris, Australian researchers have developed an artificial intelligence (AI) algorithm that they say can detect tumors on breast MRI exams nearly twice as fast as existing breast cancer detection methods without affecting accuracy.

September 9, 2018

Agfa receives acquisition offer from health IT firm

By AuntMinnie.com staff writers

Healthcare IT-biomedical informatics firm Kanteron Systems has made a nonbinding proposal to acquire all of Agfa-Gevaert, the parent company of Agfa HealthCare.

September 9, 2018

ScImage, Cardiac Imaging team up on the cloud

By AuntMinnie.com staff writers

PACS vendor ScImage has partnered with Cardiac Imaging to leverage its cloud architecture to support the acquisition of cardiac images from more locations.

September 9, 2018

C-MIMI: 8 myths about AI in radiology -- and why they're wrong

By Brian Casey

SAN FRANCISCO - Although radiology has finally warmed to the idea of artificial intelligence (AI), there is still skepticism about its potential. At this week's Conference on Machine Intelligence in Medical Imaging (C-MIMI), AI entrepreneur Jeremy Howard reviewed eight common myths about the use of AI in radiology -- and why they're wrong.

September 9, 2018

Live from C-MIMI: Dr. Eliot Siegel on AI and radiology

SAN FRANCISCO - The intersection of artificial intelligence (AI) and radiology is the subject of the Conference on Machine Intelligence in Medical Imaging (C-MIMI), taking place September 9-10. AuntMinnie.com talked to C-MIMI panel moderator Dr. Eliot Siegel to hear his thoughts on what to expect as AI becomes a clinical reality.

September 9, 2018

Live from C-MIMI: Dr. Bradley Erickson on AI and radiology

SAN FRANCISCO - Artificial intelligence (AI) is all the rage right now, but will it live up to the hype -- especially when it comes to routine clinical use in radiology? Dr. Bradley Erickson, PhD, discusses this topic and more from the Conference on Machine Intelligence in Medical Imaging (C-MIMI).

September 9, 2018

AI can distinguish between types of spondylitis on MRI

By Erik L. Ridley

An artificial intelligence (AI) algorithm can differentiate between tuberculous spondylitis and pyogenic spondylitis on MRI at a level comparable to that of experienced musculoskeletal radiologists, according to research published online September 3 in Scientific Reports.

September 9, 2018

Business models emerge for AI in medical imaging

By Simon Harris

Until fairly recently, most medical image analysis software was workstation-based and sold with a one-time software license. However, with the introduction of cloud-based artificial intelligence (AI) solutions, subscription and fee-per-study models are becoming more prevalent, writes Simon Harris from Signify Research.

September 9, 2018

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