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What is OMS Diagnostics?

OMS Diagnostics® presents an all-encompassing cardiovascular diagnostic reporting platform tailored for both physicians and technologists, allowing for the creation, interpretation, and reporting of a wide variety of diagnostic procedures, such as echocardiograms, myocardial perfusion imaging, PET scans, Holter monitoring, EKGs, and ambulatory cardiac telemetry. In addition, the OMS Diagnostics® module dedicated to lower extremity venous reflux ultrasound provides users with essential tools to accurately document cases of lower extremity peripheral reflux disease. This module aids in the identification and recording of abnormal structures, stenosis, and various anatomical irregularities. The comprehensive lower extremity venous ultrasound reports produced are not only detailed but also impressive, boasting customized statements that enrich the overall narrative. Importantly, the presence or absence of thrombus and insufficiency is clearly outlined in an organized table, significantly improving readability. Moreover, the illustrations represent completed vessels as data is entered, offering a visual depiction of the findings. Preliminary reports are generated almost instantaneously, facilitating swift review and signing by healthcare professionals, which in turn optimizes the diagnostic workflow. This streamlined process ultimately enhances patient care by ensuring timely and precise reporting, contributing to better outcomes in cardiovascular health management. By leveraging such advanced tools, healthcare providers can make informed decisions more efficiently.

What is NVIDIA Holoscan?

The NVIDIA® Holoscan platform serves as a highly adaptable AI computing solution, offering a robust infrastructure designed for the accelerated and real-time processing of streaming data, whether at the edge or within cloud environments. With capabilities for video capture and data acquisition through support for serial interfaces and a variety of front-end sensors, it proves valuable for applications like ultrasound research and the integration of legacy medical devices. Users can take advantage of the data transfer latency tool included in the NVIDIA Holoscan SDK, which provides precise insights into the end-to-end latency linked to video processing tasks. Furthermore, the platform includes AI reference pipelines tailored for various applications such as radar, high-energy light sources, endoscopy, and ultrasound, thereby addressing a wide spectrum of streaming video requirements. Equipped with specialized libraries, NVIDIA Holoscan enhances network connectivity, data processing efficiency, and AI features, while also offering practical examples to assist developers in crafting and deploying low-latency data-streaming applications using C++, Python, or Graph Composer. This powerful toolset allows users to achieve seamless integration, ensuring optimal performance across multiple domains while fostering innovation in their respective fields. Overall, NVIDIA Holoscan stands out as a comprehensive solution that meets the diverse demands of modern data processing and AI applications.

Media

Media

Integrations Supported

Integrations Supported

C++
NVIDIA Clara
Python

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Objective Medical Systems

Date Founded

2011

Company Location

United States

Company Website

objectivemedicalsystems.com/products/oms-diagnostics/

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/holoscan-sdk

Categories and Features

Ambulatory

Not specified

PACS

Not specified

Ultrasound

Not specified

Categories and Features

Ultrasound

Not specified

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