Imaging Storage: Cloud Healthcare API, part of the Medical Imaging Suite, allows easy and secure data exchange using the international DICOMweb standard for imaging. Cloud Healthcare API provides a fully managed, highly scalable, enterprise-grade development environment and includes automated DICOM de-identification. Imaging technology partners include NetApp for seamless on-prem to cloud data management, and Change Healthcare, a cloud-native enterprise imaging PACS in clinical use by radiologists. Imaging Lab: AI-assisted annotation tools from NVIDIA and MONAI help automate the highly manual and repetitive task of labeling medical images, and Google Cloud also offers native integration with any DICOMweb viewer. Imaging Datasets & Dashboards: Organizations can use BigQuery and Looker to view and search petabytes of imaging data to perform advanced analytics and create training datasets with zero operational overhead.

Google Cloud on Tuesday announced Medical Imaging Suite, new technology it says can help with accessibility and interoperability of radiology and other imaging data. WHY IT MATTERS The new suite includes components focused on storage, lab, datasets, dashboards and AI pipelines for imaging, according to Google Cloud. It's designed to offer flexible options for cloud, on-prem or edge deployment to allow organizations to meet diverse sovereignty, data security, and privacy requirements, officials say, while providing centralized management and policy enforcement with Google Distributed Cloud, enabled by Anthos. Google's Cloud Healthcare API enables secure data exchange using the international DICOMweb standard for imaging and offers a scalable, enterprise-grade development environment and includes automated DICOM de-identification. Other technology partners include NetApp for seamless on-prem to cloud data management, and Change Healthcare's cloud-native enterprise imaging PACS.

Google Cloud is bringing its expertise in vision-based artificial intelligence to the healthcare industry with the launch of its new Medical Imaging Suite today. Vision AI has the potential to make a massive impact in healthcare. Medical imaging is one of the most critical tools used by hospitals to diagnose patients, and each year billions of images are made by clinicians to help them understand why people are sick. Google said medical images are so important that they account for about 90% of all healthcare data. The problem doctors have is that medical images are complex, as it takes expertise to look at one and understand if the patient is inflicted with some kind of disease.

Google Cloud is bringing its expertise in vision-based artificial intelligence to the healthcare industry with the launch of its new Medical Imaging Suite today. Vision AI has the potential to make a massive impact in healthcare. Medical imaging is one of the most critical tools used by hospitals to diagnose patients, and each year billions of images are made by clinicians to help them understand why people are sick. Google said medical images are so important that they account for about 90% of all healthcare data. The problem doctors have is that medical images are complex, as it takes expertise to look at one and understand if the patient is inflicted with some kind of disease. Until now, that has always meant human expertise.