Google Cloud has launched its Medical Imaging Suite platform with applications for better managing rising radiologist workloads.
Google Cloud has launched Medical Imaging Suite, a new solution for simplifying AI model development and improving interoperability.
Imaging accounts for about 90% of all healthcare data, with the number of scans continuing to increase. Medical Imaging Suite’s applications are designed to speed up imaging interpretation and increase productivity so that radiologists can better manage these higher workloads.
"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," said Alissa Hsu Lynch, global lead of Google Cloud's MedTech Strategy and Solutions, in a statement.
The platform utilizes technologies from partner companies to carry out its functions. Among them are:
Cloud Healthcare API, which uses NetApp’s on-prem-to-cloud data management system and Change Healthcare’s cloud-native enterprise imaging PACS for easy and secure data exchange via the international DICOMweb standard. This includes automated DICOM de-identification.
Imaging Lab, which automates image labeling with NVIDIA’s and MONAI’s AI-assisted annotation tools and can natively integrate with any DICOMweb viewer.
Imaging Datasets and Dashboards, for searching petabytes of imaging data via BigQuery and Looker advanced analytics and creating training datasets with zero operational overhead.
Imaging AI Pipelines, which uses Vertex AI to build scalable machine learning models with 80% fewer lines of code required.
Imaging Deployment, a flexible option for cloud, on-prem, or edge deployment facilitated by Anthos to meet sovereignty, data security, and privacy requirements. It provides centralized management and policy enforcement with Google Distributed Cloud.
The solution is already being used by Hackensack Meridian Health, in New Jersey, to de-identify petabytes of images and build algorithms to predict metastasis in patients with prostate cancer.
Hologic is also using it with its Genius Digital Diagnostics System, the first CE-marked digital cytology platform for labs that combines AI with advanced volumetric imaging technology to identify precancerous lesions and cervical cancer cells.
Google Cloud’s infrastructure and data storage capabilities align with HIPAA standards to protect access to and use of patient data for customers.
