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What is See-Mode?

See-Mode Technologies is a MedTech company dedicated to leveraging artificial intelligence to improve ultrasound reporting, thereby enhancing both the precision of diagnoses and the efficiency of operations. Their groundbreaking platform quickly analyzes ultrasound images related to the thyroid and breast, leading to swift and accurate radiology reports. By effectively identifying, measuring, and characterizing nodules, See-Mode generates a detailed TI-RADS sonographer worksheet along with preliminary assessments for radiologists. In the sphere of breast imaging, the application not only identifies lesions but also automates the BI-RADS reporting procedure, providing in-depth information regarding lesion characteristics and levels of suspicion. This sophisticated technology reduces variability between operators and diminishes the chances of reporting mistakes, which in turn boosts diagnostic confidence and ensures uniformity in results. By optimizing the reporting workflow, See-Mode empowers clinicians to make better-informed decisions, ultimately contributing to improved patient outcomes. This comprehensive approach marks a significant advancement in the field of medical imaging technology.

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

See-Mode

Date Founded

2017

Company Location

Australia

Company Website

www.see-mode.com

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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