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Description
The red dot® algorithm we utilize swiftly identifies and highlights irregularities in images with remarkable precision. This advanced AI system has been crafted using a dataset of over 30,000 images, all meticulously evaluated by certified Consultant Radiologists from the UK. With continuous refinement by these highly skilled professionals, our red dot® algorithm maintains an impressive accuracy rate exceeding 90%. The ability to detect abnormalities in mere seconds ensures that patients receive diagnoses even before they leave the hospital. Furthermore, our AI technology enhances current reporting processes and seamlessly integrates with existing Radiology Information Systems (RIS) or Picture Archiving and Communication Systems (PACS), regardless of the vendor. Behold.ai has proven to be a highly cost-efficient solution, effectively alleviating reporting backlogs and capacity challenges while being up to 50% less expensive than outsourced reporting options. Recognized globally, behold.ai has earned a spot among the Top 100 Digital Health companies and is one of only five selected for AI diagnosis worldwide, showcasing its commitment to innovation in healthcare. This recognition underscores the transformative impact our technology is having on medical diagnostics and patient care.
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
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
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
Behold.ai
Country
United Kingdom
Website
behold.ai/
Vendor Details
Company Name
annalise.ai
Founded
2019
Country
Australia
Website
annalise.ai/
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