REiLI AI platform auto segmentation.

December 1, 2019 — Fujifilm Medical Systems U.S.A. is showcasing REiLI, the company's global medical imaging and informatics artificial intelligence (AI) technology initiative at the 2019 Radiological Society of North America's (RSNA) annual meeting.

"At RSNA 2019, we look forward to sharing the AI insights and advances we've made by working closely with clinical and research partners for several years," said Takuya Shimomura, chief technology officer and executive director, Fujifilm. "Ultimately, the long-term goal of our AI initiative is to help providers make better decisions that improve patient lives."

Under the REiLI brand, Fujifilm is developing AI technologies that strongly support diagnostic imaging workflow, leveraging the combination of its deep learning innovations and distinct image processing heritage. Applications currently in development include, but are not limited to: Region Recognition, an AI technology that helps to accurately recognize and consistently extract organ regions, regardless of deviations in shape, presence or absence of disease, and imaging conditions; Computer Aided Detection, an AI technology to reduce the time of image interpretation and support radiologists' clinical decision making; Workflow Support, using AI technology to realize optimal study prioritization, alert communications of AI findings, and report population automation. 

"Our latest Synapse 7x brings diagnostic radiology, mammography and cardiology together on the server-side, enabling immediate interaction with these modality imaging data sets through a single AI-enabled platform," said Bill Lacy, vice president, medical informatics, Fujifilm. "We're excited to debut this solution for our U.S. customers at RSNA 2019, showing our commitment to progressing AI technology to empower physicians to make more efficient and impactful care decisions."

RSNA attendees are encouraged to learn more about REiLI at Booth #4111 and participate in the following Fujifilm-hosted activities.

At booth #4111, attendees can visit Fujifilm's AI Lab. The lab will feature dedicated workstations demonstrating REiLI use cases within Synapse PACS. Attendees can witness first-hand the speed and depth of the integrated workflows achieved by unifying Fujifilm's REiLI technology with the company's server-side PACS system.  Featured in the AI lab will be Fujifilm developed algorithms, to include CT lung nodule, intracerebral hemorrhage, cerebral infarction MR and CT, spine label and bone temporal subtraction to name a few. In addition to the Fujifilm AI development, the AI lab will showcase its strengths by supporting a multitude of integration points in support of partner vendor and provider developed algorithms. This will include Riverain's lung nodule, MaxQ's stroke, Lunit's Chest and 2-D Mammography, LPixel's MR Aneurysm, Koios' US breast, Aidoc's pulmonary embolism and Gleamer's bone fracture.

For more inform rsna.fujimed.com
 


Related Content

News | Breast Imaging

Aug. 28, 2024 — Rezolut, LLC recently debuted its latest offering for patients during their annual mammogram ...

Time August 29, 2024
arrow
News | Digital Pathology

Paige has launched OmniScreen, an AI-driven biomarker module capable of evaluating over 505 genes and detecting 1,228 ...

Time August 27, 2024
arrow
News | RSNA

July 31, 2024 — The National Imaging Informatics Course (NIIC), a pioneering program in the radiology field, will return ...

Time July 31, 2024
arrow
Feature | Radiation Oncology | By Christine Book

News emerging from several leading organizations and vendors in the radiation therapy arena came in at a fast pace in ...

Time July 30, 2024
arrow
Feature | Computed Tomography (CT) | By Melinda Taschetta-Millane

In the ever-evolving landscape of medical imaging, computed tomography (CT) stands out as a cornerstone technology ...

Time July 30, 2024
arrow
Videos | Radiology Business

Find actionable insights to achieve sustainability and savings in radiology in this newest of ITN’s “One on One” video ...

Time July 30, 2024
arrow
News | Breast Imaging

July 29, 2024 — Lunit, a leading provider of AI-powered solutions for cancer diagnostics and therapeutics, announced the ...

Time July 29, 2024
arrow
News | Breast Imaging

July 29, 2024 — iCAD, Inc., a global leader in clinically proven AI-powered cancer detection solutions, announced a ...

Time July 29, 2024
arrow
News | Artificial Intelligence

July 26, 2024 — GE HealthCare and Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company, announced a strategic ...

Time July 26, 2024
arrow
Feature | Radiology Business | By Christine Book

Across the healthcare industry, and, notably, throughout the radiology community in just the past few years, the focus ...

Time July 26, 2024
arrow
Subscribe Now