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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Slice:Drop is an interactive online platform designed for viewing medical imaging data in three dimensions, enabling users to swiftly examine scientific and medical imagery. It seamlessly accommodates various scientific file formats, including volumetric data, models, and fibers right from the start. Users can effortlessly drag and drop their medical imaging files onto the site, eliminating the need for any file conversions, allowing for immediate rendering. The platform utilizes WebGL and HTML5 canvas technology to visualize data in both 2D and 3D while employing its proprietary open-source toolkit known as XTK. Importantly, all data processing occurs on the client side, which means no information is transmitted over the internet, thereby safeguarding privacy and security. Furthermore, Slice:Drop provides a range of functionalities, such as adjusting 3D opacity, configuring window/level settings, implementing thresholding, and controlling label map opacity for volumetric data; as well as managing show/hide options, opacity settings, and scalars for mesh data; and applying show/hide features and fiber length thresholds for fiber visuals. This makes it an invaluable resource for professionals in the medical field who require efficient and secure access to imaging data.

Description

Qure.ai's qLC-Suite is a cutting-edge AI-driven tool aimed at improving the early identification and management of lung nodules, which is crucial for prompt lung cancer intervention. This solution delivers accurate measurements, thorough characterization, and 3D imaging of lung nodules, ensuring that opportunities for early treatment are not overlooked. It is capable of supporting both incidental and targeted screenings by efficiently identifying nodules and calculating their volume with just one click. Moreover, the system monitors volumetric changes over time, providing valuable insights into nodule development. The qLC-Suite is designed to integrate smoothly into current workflows, offering quick analysis and reporting that assist healthcare professionals in their decision-making processes. In addition to its analytical capabilities, it serves as a comprehensive platform for managing lung nodules, facilitating care coordination through intelligent prompts, providing hardware-agnostic image viewing for AI-enhanced chest X-rays and CT scans, enabling seamless sharing of scans across departments, and allowing for tailored notifications for cases of concern. Overall, qLC-Suite represents a significant advancement in lung cancer care, promoting timely interventions that can ultimately save lives.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
HTML
WebGL

Integrations

Amazon Web Services (AWS)
HTML
WebGL

Pricing Details

Free
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

Slice:Drop

Website

slicedrop.com

Vendor Details

Company Name

Qure.ai

Founded

2016

Country

United States

Website

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

Product Features

Medical Imaging

Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management

Product Features

Medical Imaging

Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management

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