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