Google Cloud on Tuesday announced the Medical Imaging Suite, new technology it says can help support the accessibility and interoperability of radiographs and other imaging data.
WHY IT IMPORTANT
According to Google Cloud, the new suite includes components focused on storage, labs, datasets, dashboards, and AI pipelines for imaging.
It is designed to provide flexible options for cloud, on-premises or edge deployments to enable organizations to meet diverse requirements for data sovereignty, data security, officials said. and privacy, and provide centralized management and policy enforcement with Anthos-enabled Google Distributed Cloud.
Google’s Cloud Healthcare API enables secure data exchange using the international DICOMweb standard for imaging and provides a scalable, enterprise-grade development environment and includes automatic DICOM de-identification. motion.
Other technology partners include NetApp for seamless on-premises cloud data management and Change Healthcare’s cloud-native enterprise image PACS. Additionally, AI-powered annotation tools from NVIDIA and MONAI can help automate the manual and repetitive task of labeling medical images, the company said.
Vendor organizations can use BigQuery and Looker to view and search petabytes of image data to perform advanced analytics and create training datasets without high operational costs, according to the announcement. product.
Meanwhile, Vertex AI on Google Cloud can accelerate the development of AI pipelines to build scalable machine learning models, with less than 80% of the lines of code needed for a custom model.
TREND TO BIGGER WOMAN
Google notes that imaging data makes up 90% of all healthcare data, with the volume only increasing the workload for radiologists and other healthcare professionals tasked with solving problems. Love crafting these images for doctors and patients.
AI can help support faster, more accurate diagnostic imaging and increase productivity for providers and outcomes for patients, according to Google, which points to two customers already using the Medical Imaging Suite.
At Hackensack Meridian Health, New Jersey’s largest health system, clinicians are using technology to determine petabytes of images. The goal is to soon build an AI algorithm to predict metastasis in prostate cancer patients.
“We are working hard to build AI capabilities that will aid in image-based clinical diagnosis across a wide range of images and be an integral part of our clinical workflow,” said Sameer Sethi, director of data and analytics at Hackensack Meridian Health, said in a statement. .
“Google Cloud’s imaging capabilities, including standardized storage and de-identification, are helping us unlock the value of imaging data so that doctors and researchers are equipped to support them,” he said. digital decision support that fits their clinical workflow”.
And provider Hologic, the developer of a digital platform to help cytologists and pathologists identify precancerous lesions and cervical cancer cells in women, plans to Expand your capabilities using the Medical Imaging Kit.
“We’ve partnered with Google Cloud to use the Medical Imaging Kit to enhance our existing Genius Digital Diagnostic System,” said Michael Quick, vice president of research and innovation development at Hologic said.
“By complementing our expertise in diagnostics and AI with Google Cloud’s expertise in AI, deep learning, and cloud-based technologies for image storage, we are developing its technology to improve laboratory performance, healthcare provider decision-making, and patient care.”
ON PROFILE
“Google has pioneered the use of AI and computer vision in Google Photos, Google Image Search and Google Lens,” said Alissa Hsu Lynch. Global Lead for Google Cloud MedTech Solutions and Strategy, in a statement. “Our Medical Imaging Kit shows what can happen when tech and healthcare companies come together.”
Twitter: @MikeMiliardHITN
Email the writer: [email protected]
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