GE Healthcare said the US Food and Drug Administration has cleared its collection of algorithms on mobile X-ray devices.
The company’s Critical Care Suite, a collection of AI algorithms, is designed to prioritize critical cases for pneumothorax, a type of collapsed lung. The algorithms prioritizes and offer automated quality checks to detect errors before they go to radiologists to review.
GE Healthcare’s algorithms, which run on GE Healthcare’s Edison platform, were developed with UC San Francisco. If successful, the algorithms should fast track critical cases with time savings of up to 8 hours. The Edison platform includes a series of applications, smart devices and services for developers to create algorithms quickly, assimilate data and use analytics.
AI and machine learning is expected to play a big role in radiology and medical imaging as algorithms speed up the review process. GE Healthcare is looking to embed AI in its imaging hardware, notably the Optima XR240amx system. Recent medical imaging and AI advances include:
LG CNS, Lunit to apply AI, cloud into X-Ray analysisResearchers find crowdsourcing, AI go together in battle vs. lung cancerSamsung applies AI to medical imagingFacebook, NYU aim to use AI to speed up MRI scansMedical imaging at the ‘speed of light’: Nvidia’s Clara supercomputer
GE Healthcare said its algorithms on device are designed to work without dependency on connectivity or transfer speeds.
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