![]() ![]() The API provides a fully managed, scalable, enterprise-grade development environment, with automated DICOM de-identification. Cloud Healthcare API, which allows for easy and secure data exchange using an international standard for imaging, DICOMweb.Robust ComponentsĪccording to Google, Medical Imaging Suite addresses some common pain points organizations face when developing AI and machine learning models. “This is not unique to this market, but may provide interoperability opportunities that a smaller provider is not capable of,” she told TechNewsWorld. “This Google product provides a platform for AI developers and also facilitates image exchange,” added Ginny Torno, administrative director of innovation and IT clinical, ancillary and research systems at Houston Methodist, in Houston. “With this release,” he continued, “Google is taking their low code AI development tooling and adding substantial health care-specific acceleration.” “They can procure software from the device manufacturer, the image repository vendor or from a third-party, or they can build their own algorithms with industry agnostic image classification tools,” he told TechNewsWorld. Gartner Vice President and Distinguished Analyst Jeff Cribbs explained that health care providers who are looking for AI for diagnostic imaging solutions have generally been forced into one of two choices. “Google pioneered the use of AI and computer vision in Google Photos, Google Image Search and Google Lens, and now we’re making our imaging expertise, tools and technologies available for health care and life sciences enterprises,” Alissa Hsu Lynch, global lead of Google Cloud MedTech Strategy and Solutions, said in a statement. Google on Tuesday announced it’s ready to meet that challenge with its new Medical Imaging Suite. ![]() Applying artificial intelligence to medical images can be beneficial to physicians and patients, but developing the tools to do it can be challenging. ![]()
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