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Description

The Medical Imaging Suite from Google Cloud is crafted to revolutionize the way organizations handle imaging diagnostics by ensuring that imaging data is not only accessible but also interoperable and beneficial. This suite provides a secure, compliant, and fully managed service to oversee healthcare data in various formats such as FHIR, HL7v2, and DICOM, alongside unstructured text in natural language. Utilizing a cloud infrastructure simplifies the process of storing and sharing extensive collections of medical images that are prevalent in the healthcare sector, making it both efficient and economical. The Cloud Healthcare API facilitates operations to read DICOM instances, studies, and series in alignment with the DICOMweb standard. Furthermore, the suite enhances research capabilities and improves the overall patient experience in healthcare by providing comprehensive solutions for data storage and analysis, among other functionalities. Additionally, it offers guidance on concepts and best practices for the integration of third-party medical imaging viewers with the Cloud Healthcare API, ensuring a seamless experience for users. This holistic approach not only streamlines workflow but also fosters innovation in the medical imaging landscape.

Description

Healthcare providers and pharmaceutical firms leverage RetinAI's software platform to effectively manage their data while benefiting from enhanced insights through automated AI analysis, thereby optimizing both clinical and research workflows. This unified data platform allows users to access and manage their information from any location at any time. It supports a variety of formats, including DICOM-compliant and proprietary types. By utilizing AI, data is harmonized, organized, aggregated, and analyzed on a large scale to uncover insights related to disease progression, treatment outcomes, and predictions of disease advancement. Additionally, the platform facilitates collaborative research within organizations by providing secure cloud-based access to data. It serves as a central hub for data, medical, and digital teams. Users can conduct AI-driven analysis on their OCT volumes, focusing on layer and fluid segmentation. Immediate evaluations can be performed to consolidate insights into a single platform. Collaborators can be swiftly invited to access and interact with datasets according to specified permission levels, fostering a more integrated research environment. This comprehensive approach not only streamlines data management but also enhances collaborative efforts across different teams and disciplines.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

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

Integrations

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

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/medical-imaging

Vendor Details

Company Name

RetinAI

Country

Switzerland

Website

www.retinai.com

Product Features

Alternatives

Alternatives