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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 D2P?

The D2P® software, which has received FDA clearance, works seamlessly with 3D Systems printers to enable healthcare professionals such as surgeons, radiologists, lab technicians, and device designers to create high-quality 3D models and physical prints for diagnostic purposes efficiently. By allowing users to import DICOM images directly into its standalone modular software, D2P simplifies the process of 3D model segmentation and preparation, all from a single workstation. As a medical device, this software not only aids in surgical planning but also facilitates the production of 3D-printed anatomical models for diagnostic applications. Its advanced image segmentation toolkit, coupled with immersive virtual reality (VR) visualization, minimizes the time and resources necessary for clinicians and point-of-care (POC) personnel to generate tailored anatomical models for their patients. In addition, the digital models produced through D2P are compatible with a variety of platforms like 3D printers, VR systems, surgical planning tools, and CAD software, which greatly enhances the adaptability and efficiency of medical practices. This cutting-edge methodology not only streamlines surgical preparations but also promotes teamwork among healthcare providers by equipping them with accurate and easily accessible anatomical representations, ultimately leading to improved patient outcomes. By bridging technology and medicine, D2P serves as a vital resource in advancing the capabilities of modern 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

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

Oqton

Date Founded

2017

Company Location

Belgium

Company Website

oqton.com/d2p/

Categories and Features

Categories and Features

3D Printing

Analytics
Customizable Support Structures
ERP
Integrates with CAD
Mesh Analysis and Repair
Model Setup and Plating
Multi-User Support and Permissions
Multiple/Shared Print Queues
Pre-Print Simulations
Print File Creation
Slicing

Medical Imaging

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

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