NeuralTrak

About NeuralTrak

Provides physics-informed generative AI technology that enhances conventional medical imaging systems with real-time, low-dose 3D capabilities. This solution reduces costs and improves accessibility for image-guided medical procedures, addressing the need for advanced imaging tools in diverse clinical settings.

```xml <problem> Conventional medical imaging systems often require high radiation doses and specialized equipment, limiting accessibility and increasing costs, particularly in resource-constrained environments. The need for real-time 3D imaging capabilities further compounds these challenges, hindering the precision and efficiency of image-guided medical procedures. </problem> <solution> NeuralTrak offers a physics-informed generative AI technology designed to enhance existing medical imaging systems with real-time, low-dose 3D functionality. This approach reduces the radiation exposure typically associated with advanced imaging while simultaneously lowering the overall cost of deployment and operation. By leveraging AI, NeuralTrak enables conventional imaging systems to achieve superior performance, making advanced imaging tools more accessible across diverse clinical settings and applications. The technology aims to provide clinicians with enhanced visualization and guidance during medical procedures, ultimately improving patient outcomes. </solution> <features> - Physics-informed generative AI for real-time 3D imaging from conventional systems - Low-dose imaging capabilities to minimize radiation exposure - Compatibility with a wide range of existing medical imaging systems - AI-driven image reconstruction for enhanced visualization and clarity </features> <target_audience> The primary target audience includes hospitals, clinics, and medical professionals seeking to enhance their imaging capabilities while reducing costs and radiation exposure. </target_audience> ```

What does NeuralTrak do?

Provides physics-informed generative AI technology that enhances conventional medical imaging systems with real-time, low-dose 3D capabilities. This solution reduces costs and improves accessibility for image-guided medical procedures, addressing the need for advanced imaging tools in diverse clinical settings.

Where is NeuralTrak located?

NeuralTrak is based in Los Altos, United States.

When was NeuralTrak founded?

NeuralTrak was founded in 2023.

Location
Los Altos, United States
Founded
2023
Employees
5 employees
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NeuralTrak

Score: 29/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

Provides physics-informed generative AI technology that enhances conventional medical imaging systems with real-time, low-dose 3D capabilities. This solution reduces costs and improves accessibility for image-guided medical procedures, addressing the need for advanced imaging tools in diverse clinical settings.

neuraltrak.godaddysites.com10+
Founded 2023 – Los Altos, United States

Funding

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Team (5+)

George Zdasiuk

President

Company Description

Problem

Conventional medical imaging systems often require high radiation doses and specialized equipment, limiting accessibility and increasing costs, particularly in resource-constrained environments. The need for real-time 3D imaging capabilities further compounds these challenges, hindering the precision and efficiency of image-guided medical procedures.

Solution

NeuralTrak offers a physics-informed generative AI technology designed to enhance existing medical imaging systems with real-time, low-dose 3D functionality. This approach reduces the radiation exposure typically associated with advanced imaging while simultaneously lowering the overall cost of deployment and operation. By leveraging AI, NeuralTrak enables conventional imaging systems to achieve superior performance, making advanced imaging tools more accessible across diverse clinical settings and applications. The technology aims to provide clinicians with enhanced visualization and guidance during medical procedures, ultimately improving patient outcomes.

Features

Physics-informed generative AI for real-time 3D imaging from conventional systems

Low-dose imaging capabilities to minimize radiation exposure

Compatibility with a wide range of existing medical imaging systems

AI-driven image reconstruction for enhanced visualization and clarity

Target Audience

The primary target audience includes hospitals, clinics, and medical professionals seeking to enhance their imaging capabilities while reducing costs and radiation exposure.