Google Cloud launches new AI-enabled imaging technologies
At Hackensack Meridian Health, Medical Imaging Suite is already being used to create machine learning models that forecast prostate cancer metastases.
On Tuesday, Google Cloud unveiled Medical Imaging Suite, a new technology that it claims would improve the accessibility and interoperability of data from radiology and other imaging sources.
WHATMATES AND WHY :
According to Google Cloud, the new package comprises parts devoted to storage, lab, datasets, dashboards, and Artificial intelligence pipelines for imaging.
According to officials, it is intended to provide flexible options for cloud, on-premises, or edge deployment to enable organisations to meet various requirements for sovereignty, data security, and privacy while offering centralised management and policy enforcement with Google Distributed Cloud, enabled by Anthos.
The Google Cloud Healthcare API provides a scalable, enterprise-grade development environment, automated DICOM de-identification, and secure data communication using the worldwide DICOMweb standard for imaging.
Other technological partners include Change Healthcare, which offers cloud-native business imaging PACS, and NetApp, which offers seamless on-prem to cloud data management. Additionally, the company claims that AI-assisted annotation tools from NVIDIA and MONAI can aid in automating the laborious and painstaking process of categorising medical pictures.
According to the product announcement, provider companies may use BigQuery and Looker to browse and search petabytes of imaging data to do advanced analytics and produce training datasets with no operational overhead.
With 80% fewer lines of code needed for bespoke modelling, Vertex AI on Google Cloud can speed up the construction of AI pipelines to create scalable machine learning models.
THE GENERAL TEND :
According to Google, imaging data makes up up to 90% of all healthcare data, and as a result, radiologists and other healthcare workers who must manually analyse these images for physicians and patients are put to more labour.
According to Google, who cites two clients utilising Medical Imaging Suite, AI may facilitate faster, more accurate diagnosis of pictures, increase productivity for clinicians, and improve patient outcomes.
The technique is being used by clinicians at Hackensack Meridian Health, the largest healthcare organisation in New Jersey, to de-identify petabytes of image data. The objective is to quickly develop AI systems that can forecast metastases in people with prostate cancer.
“We are working towards building AI capabilities that will support image-based clinical diagnosis across a range of imaging, and be an integral part of our clinical workflow,”
“Google Cloud’s imaging capabilities, including standardized storage and de-identification, are helping us unlock the value of our imaging data so clinicians and researchers are equipped with digitized decision support that fits into their clinical workflow,”
Sameer Sethi, chief data and analytics officer at Hackensack Meridian Health
The Medical Imaging Suite will be used to enhance the capabilities of vendor Hologic, which created a digital platform to assist cytologists and pathologists in identifying precancerous lesions and cervical cancer cells in female patients.
“We’ve partnered with Google Cloud to use the Medical Imaging Suite to enhance our current Genius Digital Diagnostics System,”
Michael Quick, vice president of research and development innovation at Hologic
“By combining Google Cloud’s experience in Artificial intelligence deep learning, and its cloud-based technologies for imaging storage with our expertise in diagnostics and Artificial intelligence, we’re advancing our products to improve laboratory performance, healthcare provider judgement, and patient care.”
FILED FOR RECORD :
“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 healthcare and life sciences enterprises”, “Our Medical Imaging Suite shows what’s possible when tech and healthcare companies come together.”
Alissa Hsu Lynch, Global Lead of Google Cloud’s MedTech Strategy and Solutions
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