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Description

EMSE is a comprehensive suite of sophisticated and user-friendly software tools designed for measuring, describing, and visualizing the dynamics of the human brain, utilized globally in fields such as neuroscience, neurotechnology, and clinical neurophysiology. Our expertise lies in advanced multimodal source estimation techniques, which empower researchers to integrate EEG and MRI datasets, thus providing clearer insights into both the spatial and temporal aspects of brain activity. Traditional neuroimaging methods, like magnetic resonance imaging (MRI), excel in locating brain activity but fall short in determining the timing of events. In contrast, electroencephalography (EEG) and its related technique, Event-Related Potentials (ERPs), can pinpoint when neural events occur with remarkable precision, but they struggle with spatial localization. By merging MRI and EEG data, EMSE uniquely addresses both the "where" and "when" questions of brain activity, offering a level of detail that neither technique can achieve on its own. This innovative approach is referred to as multimodal dynamic functional brain imaging or source estimation, allowing for a deeper understanding of the brain's intricate workings. By leveraging this technology, researchers can uncover new insights into brain dynamics that were previously unattainable.

Description

Fovia Ai's F.A.S.T. aiCockpit serves as an AI viewer that enhances navigation, visualization, and interaction with AI-generated results from various vendors and algorithms through a unified user experience that minimizes the number of clicks needed. This platform facilitates the visualization and interaction of all algorithm outcomes within a single, user-friendly interface, significantly improving the workflow for radiologists and clinical professionals. By providing physician-validated insights to AI orchestrators, PACS, and reporting systems, it adheres to the most up-to-date interoperability standards. The system is compatible with multiple AI formats, such as DICOM Structured Reports, DICOM Key Images, DICOM GSPS, and DICOM segmentation objects. Furthermore, F.A.S.T. aiCockpit boasts a cloud-ready architecture, enabling access to AI-assisted radiology results from anywhere at any time via any web-enabled browser. With just one straightforward integration, users can seamlessly complete their AI capabilities without the need to switch between various viewers, thus streamlining their overall workflow even further. This innovative approach not only enhances efficiency but also empowers healthcare professionals to make more informed decisions quickly.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Cortech Solutions

Founded

2001

Country

United States

Website

cortechsolutions.com/products/emse/

Vendor Details

Company Name

Fovia Ai

Founded

2003

Country

United States

Website

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

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