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What is Horos?

Horos is a free, open-source medical imaging application specifically designed for macOS, offering a robust 64-bit DICOM viewer that meets the diverse requirements of the medical imaging sector. Originating from OsiriX 5.8, it is utilized in various fields such as research, education, and non-diagnostic medical imaging. This adaptable software is capable of managing a wide range of DICOM files and features advanced functionalities, including 2D/3D multi-planar reconstruction, surface and volume rendering, and maximum intensity projection. Users have the ability to effortlessly view, import, and export studies, measure anatomical structures, annotate images, and apply filters or adjustments to improve visualization quality. Additionally, Horos provides anonymization options, DICOM Query/Retrieve capabilities for PACS servers, and supports plugins and scripting for extensive customization. The user interface is designed to be both user-friendly and adaptable, making it accessible for newcomers as well as experienced professionals, while also integrating smoothly with educational resources and teaching methodologies. Its continuous updates and active community backing further solidify Horos as a vital tool that evolves to meet the changing demands of the medical imaging field. With its extensive feature set and usability, Horos stands out as an essential resource for anyone involved in medical imaging.

What is F.A.S.T. aiCockpit?

Fovia Ai's F.A.S.T. aiCockpit functions as an advanced AI viewer that improves the ease of navigation, visualization, and interaction with results generated by AI from different vendors and algorithms, all through a streamlined user experience that reduces the number of clicks required. This platform allows for the comprehensive visualization and engagement with algorithmic outcomes, presented in a single, intuitive interface that greatly benefits the workflow of radiologists and clinical specialists. By offering physician-validated insights to AI orchestrators, PACS, and reporting systems, it meets the latest interoperability standards in the industry. The system supports a variety of AI formats, including DICOM Structured Reports, DICOM Key Images, DICOM GSPS, and DICOM segmentation objects. Additionally, F.A.S.T. aiCockpit features a cloud-compatible architecture, which provides the ability to access AI-assisted radiology results from any location at any time using any web-enabled browser. With a single, simple integration, users can effortlessly enhance their AI capabilities without toggling between different viewers, thereby further optimizing their overall workflow. This forward-thinking solution not only boosts efficiency but also equips healthcare professionals to make quicker, more informed decisions, ultimately leading to improved patient care and outcomes. As a result, the integration of such advanced technology into medical practices signifies a transformative step for the future of healthcare.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Horos

Company Location

United States

Company Website

horosproject.org

Company Facts

Organization Name

Fovia Ai

Date Founded

2003

Company Location

United States

Company Website

fovia.ai/index.php/fast-aicockpit/

Categories and Features

Categories and Features

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