News | Artificial Intelligence | February 06, 2019

IMS to Unveil Prototype Imaging Machine Learning Platform at HIMSS19

Platform will employ Google Cloud Machine Learning Engine to help triage imaging studies that need immediate attention

IMS to Unveil Prototype Imaging Machine Learning Platform at HIMSS19

February 6, 2019 — International Medical Solutions (IMS) announced a solution that will enable radiologists and other clinicians to use machine learning (ML) modeling to triage studies and focus on medical images that need immediate attention. The platform will use a standard file format, enabling any artificial intelligence (AI) company to add their own model to the workflow.

The prototype, which will be unveiled at the 2019 Healthcare Information and Management Systems Society (HIMSS) conference, Feb. 11-15 in Orlando, Fla., will feature two common use cases. The first scenario uses Google Cloud ML Engine to provide an indicator for prioritization. Using the example of a radiologist who has several hundred chest cases to review, the study list will leverage machine learning to provide an indicator of the cases that are most likely to have a pathology. This will enable the radiologist to focus on those cases quickly and expedite the results. The second scenario uses Google Cloud ML Engine to provide better decision support. In situations where there is no urgency involved with a diagnosis, such as determining breast density, machine learning modeling can be used for clinical decision support.

For more information: www.imstsvc.com

Related Content

#RSNA19 A sophisticated type of artificial intelligence (AI) can detect clinically meaningful chest X-ray findings as effectively as experienced radiologists, according to a study published in the journal Radiology.

Image courtesy of GE Healthcare

News | Artificial Intelligence | December 03, 2019
December 3, 2019 — A sophisticated type of...
REiLI AI platform auto segmentation.
News | Artificial Intelligence | November 30, 2019
December 1, 2019 — Fujifilm Medical Systems U.S.A.
#RSNA19 Dynamics enables a radiologist to compare X-rays and provide automatically generated reports specifically addressing the changes in images over the course of patient treatment. Initially Dynamics feature will support longitudinal comparison for pneumothorax, consolidation, mass, nodule, pleural effusion, pulmonary edema and lung congestion radiological findings where progress reports are of greatest importance
News | Artificial Intelligence | November 29, 2019
November 29, 2019 — At RSNA19 Oxipit will offer a first public p
XACT Robotics is advancing the field of radiology, pioneering the first hands-free robotic system, combining image-based planning and navigation with instrument insertion and steering capabilities
News | Artificial Intelligence | November 26, 2019
November 26, 2019 — XACT Robotics Ltd.
 Lunit INSIGHT CXR

A radiologist conducts an interpretation of a chest x-ray image with Lunit INSIGHT CXR analysis.

News | Digital Radiography (DR) | November 25, 2019
November 25, 2019 — Lunit announced the certification of CE mark for its most up-
Blackford, the centralized medical imaging platform, today announced that it had signed a multi-year agreement with IBM to integrate the Blackford Registration into IBM’s AI-ready workflow platform, Merge PACS
News | PACS | November 25, 2019
November 25, 2019 — Blackford, the centralized medica