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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.

What is Behold.ai?

The red dot® algorithm we employ quickly examines and detects anomalies in images with exceptional accuracy. Crafted using over 30,000 images rigorously reviewed by qualified Consultant Radiologists in the UK, this AI system has achieved a remarkable accuracy rate that surpasses 90%. It can identify irregularities in just seconds, facilitating prompt diagnoses for patients, often even before they leave the hospital. Our AI innovation not only enhances existing reporting processes but also integrates smoothly with current RIS or PACS systems, regardless of the provider. Behold.ai has proven to be extremely cost-effective, greatly reducing reporting backlogs and capacity issues, while its expenses can be as much as 50% lower than those of outsourced reporting services. Additionally, behold.ai has garnered recognition as one of the Top 100 Digital Health companies globally and ranks among the leading five solutions for AI-assisted diagnosis worldwide. This accolade highlights our dedication to advancing healthcare through cutting-edge technology, ensuring that patients receive accurate and timely care. Our commitment to innovation continues to drive improvements in healthcare delivery and outcomes on a global scale.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Fovia Ai

Date Founded

2003

Company Location

United States

Company Website

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

Company Facts

Organization Name

Behold.ai

Company Location

United Kingdom

Company Website

behold.ai/

Categories and Features

Categories and Features

Medical Imaging

Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management

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