Google Cloud’s Medical Imaging Suite to make AI-based diagnosis more accessible

google cloud is bringing its vision-based artificial intelligence expertise to the healthcare industry with the launch of its new Medical Imaging Suite today.

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

The problem that doctors have is that medical images are complex, since experience is needed to observe one and understand if the patient suffers from any type of disease. Until now, that has always meant human experience. As a result, radiologists and other health professionals in many hospitals face an enormous workload.

Available now, Google Cloud’s Medical Imaging Suite is designed to change this, using AI algorithms to scan medical images and provide faster, more accurate diagnoses. In this way, he believes he can help increase the productivity of healthcare workers while improving access to care and patient outcomes.

The offering is designed to address the most common pain points that have prevented healthcare organizations from implementing AI sooner. Image Lab provides access to out-of-the-box AI-based annotation tools created by Nvidia Corp. and Monai that can perform repetitive manual tasks, such as labeling medical images.

Also on board are Google’s BigQuery and Looker services, which can be used to search and view petabytes of image data. The user can then perform advanced analysis on this data, or even use it to create training data sets for new AI models.

The suite’s Imaging AI Pipelines module provides access to vertex AIgiving users a way to quickly build AI pipelines and build scalable machine learning models with minimal custom coding.

“Google pioneered the use of AI and computer vision in Google Photos, Google Image Search and Google Lens, and now we are making our imaging expertise, tools and technologies available to healthcare and life sciences companies. said Alissa Hsu Lynch, Global Leader, MedTech Strategy and Solutions, 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 the biggest headaches for healthcare providers: compliance. The suite takes advantage of Google Cloud Healthcare Application Programming Interface to provide secure data exchange via DICOM web standard for secure image transfers. The Cloud Healthcare API is a fully managed, enterprise-grade development environment that offers automated DICOM de-identification.

Lastly, Google said there are multiple deployment options available for the Medical Imaging Suite, including cloud, on-premises, or at the edge. This flexibility will ensure healthcare customers can meet a diverse set of data sovereignty, privacy and security requirements, Google said, with centralized management and policy enforcement provided by Google Distributed Cloud.

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

“It’s clear that software will ultimately be better than a human when it comes to image analysis because it can look for more patterns, it has access to more data, it doesn’t have a bad day, it doesn’t need to sleep and it never goes away.” on vacation,” Mueller explained. “However, security and privacy are a key concern, so it’s good to see that Google’s new offering addresses both concerns with its advanced security capabilities. The next thing is to see what the acceptance in the industry will be like. The world needs better next-generation apps to deliver better patient outcomes.”

Google says it is paving the way for hundreds of hospitals that have been held back by security and compliance issues to finally adopt AI for medical imaging. They include New Jersey-based Hackensack Meridian Health, which has implemented Google’s tools to de-identify petabytes of images. His plan is to create a large amount of anonymous training data that will be used to create new AI models to predict metastasis in patients with prostate cancer, a life-threatening condition that disproportionately affects black men in the US. USA

“We are working to develop AI capabilities that will support clinical image-based diagnosis across a variety of images and will be an integral part of our clinical workflow,” said Sameer Sethi, senior vice president and chief data and analytics officer at HMM. “Google Cloud imaging capabilities, including standardized storage and de-identification, help us unlock the value of our imaging data so clinicians and researchers are equipped with digitized decision support that fits their workflow. clinical”.

Photo: Freepik

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