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What is IMAIOS DICOM Viewer?

The IMAIOS DICOM Viewer (IDV) is a free online tool that allows users to easily view medical images from various sources, such as computers, CDs, or DVDs, while delivering rapid 2D rendering. Users can effortlessly drag and drop their images into the interface, requiring no specialized computer knowledge to begin viewing. As long as you have a web browser, you can access IDV from your primary device or any other location, providing uninterrupted service without delays. Importantly, the viewer ensures that your files remain on your local device instead of being uploaded to the network, thus protecting the confidentiality of patient medical records. Focused on both speed and user-friendliness, it includes features like scrolling through image series, brightness and contrast adjustments, zooming, panning, measuring angles or distances in centimeters, and applying preset windowing for CT scans. Accessible to all through IMAIOS and the IDV app, this DICOM viewer is available free of charge for personal and non-commercial use, making it a significant asset for anyone needing quick medical imaging access. Its intuitive interface, combined with powerful functionalities, makes IDV a critical resource for medical professionals and students who require efficient and effective tools for their imaging needs. Ultimately, the IMAIOS DICOM Viewer exemplifies a commitment to enhancing the accessibility and usability of medical imaging technology.

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.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Free
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

IMAIOS

Company Location

France

Company Website

www.imaios.com/en/imaios-dicom-viewer

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/medical-imaging

Categories and Features

Categories and Features

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