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What is Lunit?

Artificial intelligence is essential in the early detection of cancers, enabling timely interventions that can significantly improve survival rates. Given the complexity of cancer, each type possesses unique traits, accompanied by vast amounts of data that necessitate meticulous examination. AI's strength lies in its ability to analyze intricate information, uncovering valuable insights that bolster cancer treatment methodologies. With access to accurate and pertinent data, we can adopt a proactive approach in our fight against cancer. Through the application of AI technologies, we are on the verge of achieving remarkable progress in combating this disease. Our advanced AI systems are capable of detecting early-stage cancer with exceptional precision, boasting detection rates that range from 97% to 99%. They effectively recognize ten of the most common abnormalities in chest x-rays, thereby improving one of the primary diagnostic tools used in medicine. This groundbreaking advancement not only optimizes the radiology process but also reduces the burden on radiologists. Lunit INSIGHT CXR successfully captures a comprehensive array of findings, equipping us to confront the obstacles associated with cancer detection and treatment head-on. As we look ahead, the integration of AI into cancer care heralds a future filled with hope and innovative solutions. The continuous evolution of these technologies promises to redefine our approach to healthcare and improve patient outcomes significantly.

What is CADU?

CADU, an AI-driven cloud solution developed by Odin Vision, assists in the detection and analysis of dysplasia in patients with Barrett’s oesophagus during gastroscopy procedures. The platform assesses regions that visually mimic Barrett's oesophagus, providing valuable insights to help healthcare professionals discern between dysplastic and non-dysplastic tissues. By streamlining the decision-making process for endoscopists and enhancing the efficiency of oesophageal examinations, CADU is both time-saving and cost-effective. Moreover, its vendor-neutral design allows for compatibility with a variety of endoscopic devices. The system is CE marked and has received UKCA approval, although it is not currently available for commercial distribution in the United States. CADU is already in use at clinical institutions such as University College London Hospitals, where it aims to improve the early detection of oesophageal cancer, a condition that poses challenges due to the often subtle presentation of initial lesions. Its deployment marks a notable progression in the early identification of this critical health issue, underscoring the transformative role of technology in contemporary healthcare practices. This innovative approach signifies a promising leap forward in combating a disease that can be lethal if not caught in its early stages.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Lunit

Company Location

United States

Company Website

www.lunit.io/en

Company Facts

Organization Name

Odin Vision

Company Location

United Kingdom

Company Website

odin-vision.com/en_gb/cadu-2/

Categories and Features

Categories and Features

Medical Imaging

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

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