Google Cloud’s medical imaging suite to make AI-based diagnosis more accessible

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Google Cloud brings its expertise in vision-based artificial intelligence to the healthcare sector with today’s launch of its new medical imaging suite.

Vision AI has the potential to have a huge impact on healthcare. Medical imaging is one of the most critical tools used by hospitals to diagnose patients, and every year billions of images are taken by clinicians to help them understand why people are sick. Google said medical images are so important that they make up about 90% of all health data.

The problem for doctors is that medical images are complex, as it takes expertise to look at one and understand if the patient has some kind of disease. Until now, this has always meant human expertise. Consequently, radiologists and other healthcare professionals in many hospitals face an enormous workload.

Available now, Google Cloud’s medical imaging suite is designed to change that, using AI algorithms to digitize medical images and provide faster, more accurate diagnoses. In this way, he believes he can help increase healthcare worker productivity while improving access to care and patient outcomes.

The offering is designed to address the most common issues that have prevented healthcare organizations from implementing AI before. The Imaging Lab provides access to ready-to-use AI-based annotation tools created by Nvidia Corp. and Monai that can perform repetitive manual tasks such as labeling medical images.

Also integrated are Google’s BigQuery and Looker services, which can be used to search and display petabytes of imagery data. The user can then perform advanced analytics on this data, or even use it to create training datasets for new AI models.

The suite’s Imaging AI Pipelines module provides access to Vertex AI, allowing users to quickly create AI pipelines and build scalable machine learning models with minimal custom coding.

“Google pioneered the use of artificial intelligence and computer vision in Google Photos, Google Image Search and Google Lens, and we are now making our expertise, tools and imaging technologies available healthcare and life sciences companies,” said Alissa Hsu Lynch, global head of MedTech strategy and solutions at Google Cloud. “Our medical imaging suite shows what’s possible when technology and healthcare companies come together.”

Google Cloud’s medical imaging suite also goes to great lengths to ensure the privacy and security of image data, solving one of healthcare providers’ biggest headaches: compliance. The following relies on Google Cloud Healthcare Application Programming Interface ensure a secure exchange of data on the DICOMweb standard for secure image transfers. The Cloud Healthcare API is a fully managed, enterprise-grade development environment that offers automated DICOM de-identification.

Finally, Google said there are multiple deployment options available for the medical imaging suite, including cloud, on-premises, or edge. This flexibility will ensure healthcare customers are able to meet a diverse set of data security, privacy and sovereignty requirements, Google said, with centralized management and policy enforcement. provided by Google Distributed Cloud.

Constellation Research Inc. analyst Holger Mueller said healthcare is one of the industries that can benefit the most from cloud and AI adoption, especially in the area of ​​image processing. , which can take advantage of both technologies.

“Clearly the software will ultimately be better than a human at image analysis, because it can find more patterns, has access to more data, doesn’t have a bad day, doesn’t have need to sleep and never go on vacation,” Mueller explained. “Security and privacy are a primary concern though, so it’s good to see that Google’s new offering addresses both of these concerns with its advanced security capabilities. . The next thing is to see how the uptake in the industry will be. The world needs better next-gen apps for better patient outcomes.

Google says it’s paving the way for hundreds of hospitals that have been held back by security and compliance issues to finally embrace AI for medical imaging. These include New Jersey-based Hackensack Meridian Health, which deployed Google’s tools to anonymize petabytes of images. His plan is to create a large pool of anonymized training data that will be used to create new AI models to predict metastasis in patients with prostate cancer – a life-threatening disease that disproportionately affects men. black men in the United States.

“We are working to build AI capabilities that will support image-based clinical diagnosis across a range of imaging and will be an integral part of our clinical workflow,” said Sameer Sethi, Vice President senior and director of data and analytics at HMM. “Google Cloud’s imaging capabilities, including standardized storage and anonymization, help us unlock the value of our imaging data so that clinicians and researchers have digitized decision support that integrates into their clinical workflow.”

Photo: Freepik

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