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What is RADIOLens?

Radiolens is a cutting-edge PACS radiology workflow solution driven by AI technology, which significantly improves diagnostic processes by automatically detecting low-quality scans and creating preliminary reports across various common imaging modalities. By fostering clinical collaboration and enhancing workflow efficiency, this system facilitates better decision-making in medical environments. It incorporates automated task assignments to effectively manage workload distribution while offering both quantitative and qualitative insights, which boosts the speed and precision of reporting. Furthermore, it boasts a user-friendly DICOM Viewer, enabling case access from mobile devices and removing the necessity for on-site attendance due to its cloud-based infrastructure. Users benefit from immediate notifications on their devices, ensuring they are promptly updated. Radiolens stands out with its remarkable accuracy, limitless image backup, and easy archiving options, along with instant AI-driven biomarkers that provide critical qualitative and quantitative metrics including CCAP diameter, listhesis, compression fractures, IV disc height, and thecal sac measurements. Additionally, its intelligent server seamlessly matches templates to studies according to the patient's gender and the modality being utilized, further optimizing the workflow. This holistic approach not only boosts the efficiency of radiology departments but also significantly enhances the overall quality of patient care, making it an indispensable tool in modern healthcare settings. By integrating advanced technology with user-centric features, Radiolens sets a new standard in radiological practices.

What is OHIF Viewer?

The OHIF Viewer, provided by the Open Health Imaging Foundation, is an open-source web-based platform that focuses on medical imaging and offers a solid foundation for developing complex imaging applications. It is engineered to efficiently load extensive radiology studies by pre-fetching crucial metadata and streaming pixel data as necessary. With the incorporation of Cornerstone3D, it adeptly decodes, renders, and annotates medical images. Users enjoy seamless integration with DICOMWeb-compliant image archives and a data source API that facilitates connections with proprietary API formats. The viewer's plugin architecture supports the creation of tailored workflow modes that leverage existing core features. Moreover, its user interface, developed with React.js and Tailwind CSS, not only presents an attractive design but is also designed for extensibility, featuring a library of reusable UI components that improve usability and customization. In addition, this collection of attributes makes the OHIF Viewer a highly adaptable asset in the realm of medical imaging, catering to a wide range of user needs and applications.

Media

Media

Integrations Supported

Integrations Supported

React
Tailwind CSS

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Synapsica

Company Location

India

Company Website

synapsica.com/radiolens/

Company Facts

Organization Name

OHIF

Company Location

United States

Company Website

docs.ohif.org

Categories and Features

DICOM Viewers

Not specified

PACS

Not specified

Radiology

Not specified

Categories and Features

DICOM Viewers

Not specified

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