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What is qCT?

Qure.ai's qLC-Suite is an innovative AI-powered tool designed to enhance the early detection and management of lung nodules, which is vital for effective lung cancer treatment. This advanced solution provides precise measurements, detailed characterization, and three-dimensional imaging of lung nodules, ensuring that chances for early intervention are not missed. It adeptly supports both incidental and targeted screenings by swiftly identifying nodules and calculating their volume with a single click. Additionally, the system tracks volumetric changes over time, offering critical insights into the progression of nodules. The qLC-Suite is tailored to fit seamlessly into existing workflows, delivering rapid analysis and reporting that aid healthcare providers in their clinical decisions. Beyond its analytical functions, it acts as a comprehensive platform for lung nodule management, enhancing care coordination through smart prompts, allowing for hardware-independent image viewing of AI-optimized chest X-rays and CT scans, facilitating the easy sharing of images across various departments, and providing customized notifications for urgent cases. This platform not only streamlines the diagnostic process but also empowers healthcare teams to make informed decisions quickly. Altogether, the qLC-Suite represents a major leap forward in lung cancer management, encouraging timely medical interventions that can be life-saving for patients.

What is Butterfly?

The Butterfly iQ+ has been meticulously crafted to streamline the ultrasound process. Users can connect it to either an iOS or Android app, allowing them to quickly choose from 22 presets with a simple swipe of a finger, thus enabling instant scanning. Powered by our innovative Ultrasound-on-Chipâ„¢ technology, this device pushes the limits of traditional ultrasound methods. It features patented on-chip digital micro-beamforming, which enables frame rates that are 15% faster and pulse repetition frequencies that are 60% quicker than conventional systems. Additionally, its 1.75D array beamforming is designed to reduce elevation beamwidth by an impressive 85%. This device employs a state-of-the-art low-noise, low-power semiconductor process, along with optimized electronics and a power-efficient FPGA, ensuring top-notch performance. Users can simply connect it to their mobile devices and begin scanning immediately, all while benefiting from Butterfly Education resources. The vivid color representation provided by the iQ+ allows for precise illustrations of hemodynamic flow, giving healthcare professionals the clarity they need. As the only device in the world utilizing Ultrasound-on-Chipâ„¢ technology, it helps users efficiently detect A lines, B lines, and pleural irregularities, leading to faster and more accurate diagnostic results. This extraordinary tool not only improves scanning efficiency but also significantly enhances the standard of patient care. It stands out as a revolutionary advancement in medical imaging, making ultrasound more accessible and effective for practitioners everywhere.

Media

Media

Integrations Supported

Amazon Web Services (AWS)

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$420 per year

Supported Platforms

SaaS

Supported Platforms

iPhone
iPad

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Qure.ai

Date Founded

2016

Company Location

United States

Company Website

www.qure.ai/product/lung-nodule-management

Company Facts

Organization Name

Butterfly Networks

Company Location

United States

Company Website

www.butterflynetwork.com/health-systems

Categories and Features

Healthcare AI

Not specified

Medical Imaging

Not specified

Categories and Features

Healthcare AI

Not specified

Medical Imaging

Not specified

Ultrasound

Not specified

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