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What is Google Medical Imaging Suite?

Google Cloud's Medical Imaging Suite is designed to transform how organizations approach imaging diagnostics by guaranteeing that imaging data is readily accessible, interoperable, and advantageous. This suite delivers a secure, compliant, and entirely managed service that oversees healthcare data across multiple formats, including FHIR, HL7v2, and DICOM, as well as unstructured text in natural language. By leveraging cloud infrastructure, it simplifies the storage and sharing of vast collections of medical images commonly found in the healthcare industry, making these processes both efficient and cost-effective. The Cloud Healthcare API enables the reading of DICOM instances, studies, and series in accordance with the DICOMweb standard, enhancing functionality. Moreover, the suite not only bolsters research capabilities but also enhances the overall patient experience by offering comprehensive solutions for data storage and analysis. It also provides valuable guidance on best practices and concepts for integrating third-party medical imaging viewers with the Cloud Healthcare API, ensuring that users enjoy a smooth experience. This integrated approach effectively streamlines workflows, encourages collaboration, and fosters innovation across the medical imaging field, ultimately leading to improved healthcare outcomes.

What is Dyania Health?

Our platform is meticulously crafted with a focus on regulatory compliance, enhancing the landscape of clinical research by employing advanced algorithms to analyze unstructured EMR data for the identification of critical health conditions. We are at the forefront of innovation, developing state-of-the-art technologies that expand access to transformative healthcare solutions through Clinical Trials. Our passionate team is driven by a mission to save lives by improving access to therapeutic advancements still under investigation. We firmly believe that every patient deserves to be informed and empowered about their options to participate in clinical trials that may provide substantial therapeutic advantages. As a progressive healthcare AI research organization, we have developed a sophisticated computational platform that accurately identifies patients who fulfill an extensive range of criteria necessary for participation in clinical trials, ensuring that those best suited are prioritized for these vital studies. Ultimately, our goal is to transform the way patients discover and engage with potentially life-altering treatment options, fostering a new era of healthcare possibilities. Through these efforts, we aspire to bridge the gap between innovative research and patient access, making a tangible difference in the healthcare landscape.

Media

Media

Integrations Supported

Anthos
Google Cloud BigQuery
Google Distributed Cloud
Looker
MySQL
NVIDIA DRIVE
NetApp Cloud Insights
SQL
Vertex AI

Integrations Supported

Anthos
Google Cloud BigQuery
Google Distributed Cloud
Looker
MySQL
NVIDIA DRIVE
NetApp Cloud Insights
SQL
Vertex AI

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/medical-imaging

Company Facts

Organization Name

Dyania Health

Date Founded

2019

Company Location

United States

Company Website

dyaniahealth.com

Categories and Features

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

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