Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
CADDIE (Computer-Aided Detection for Endoscopy) is an innovative AI software created by Odin Vision, aimed at enhancing the ability of endoscopists to identify and evaluate colorectal polyps during colonoscopy. Utilizing the robust cloud infrastructure provided by NVIDIA, CADDIE processes live video feeds from traditional white-light endoscopes, offering visual indicators that point out areas of concern for potential polyps. This system classifies polyps into adenomas and non-adenomas, which supports healthcare professionals in making well-informed choices regarding resection and histopathology. Moreover, CADDIE evaluates bowel cleanliness by calculating the percentage of visible mucosa and identifies the appendiceal orifice to ensure successful cecal intubation. Its cloud-based design facilitates effortless software updates, eliminating the necessity for on-site technical interventions. Additionally, CADDIE is built to work seamlessly with existing endoscopy equipment and can be integrated into current clinical practices with little to no training needed, making it a valuable tool in modern gastroenterology. Overall, this technology aims to improve patient outcomes and enhance the accuracy of colorectal screenings.
Description
By examining up to three images for each study, including both frontal and lateral perspectives, healthcare professionals can enhance their diagnostic capabilities through the correlation of observations from varied angles. The creation of Annalise CXR’s extensive ontology tree was guided by clinical insights, aimed at curating a thorough list of findings deemed essential and beneficial for medical practitioners. Designed by clinicians with a keen awareness of the need for uninterrupted workflow, Annalise CXR’s adaptable user interface integrates smoothly with existing PACS and RIS systems. Clinicians can confidently start using Annalise CXR in less than ten minutes, significantly reducing the learning curve. Furthermore, the confidence bar feature indicates the probability of a finding and the associated uncertainty of the AI model, empowering clinicians to interpret results with greater assurance. This innovative approach not only streamlines the diagnostic process but also enhances overall clinical decision-making.
API Access
Has API
No
API Access
Has API
No
Integrations
NVIDIA DRIVE
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Odin Vision
Country
United Kingdom
Website
odin-vision.com/en_gb/caddie-2/
Vendor Details
Company Name
annalise.ai
Founded
2019
Country
Australia
Website
annalise.ai/
Product Features
Medical Imaging
Automated Routing
No
Comparison View
No
Compliance Management
No
Data Import / Export
No
Diagnostic Reporting
No
Image Analytics
No
Treatment Planning
No
Workflow Management
No
Product Features
Medical Imaging
Automated Routing
No
Comparison View
No
Compliance Management
No
Data Import / Export
No
Diagnostic Reporting
No
Image Analytics
No
Treatment Planning
No
Workflow Management
No