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What is MicroDicom?

MicroDicom DICOM viewer is designed specifically for the effective handling and visualization of medical images that adhere to the DICOM standard, a crucial format in the healthcare imaging industry. This software package comes with vital tools for editing DICOM images and is also compatible with a variety of other image formats such as JPEG, BMP, PNG, and TIFF. Users can easily open and save medical images, as well as measure distances and angles, and adjust brightness and contrast levels as needed. In addition, MicroDicom offers options for adding annotations, exporting images to commonly used picture formats, and anonymizing DICOM files to protect patient privacy. Its intuitive interface allows both medical professionals and students to use the software without difficulty. Moreover, the viewer includes features for burning DICOM files onto CD/DVD, complemented by an integrated CD/DVD viewer for easy access. It also facilitates the viewing of images from PACS servers and local drives, while providing support for DICOMDIR files and multi-frame images. Notably, MicroDicom DICOM viewer has the capability to print DICOM images, further enhancing its utility for medical imaging professionals. The software’s extensive range of features makes it an essential asset in the realm of medical imaging, ensuring it meets a wide variety of user needs effectively.

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

$99 per year
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

MicroDicom

Date Founded

2007

Company Location

Bulgaria

Company Website

www.microdicom.com/#google_vignette

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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