Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
The FDA-cleared D2P® software, in combination with 3D Systems printers, empowers surgeons, radiologists, lab technicians, and device designers to efficiently generate high-quality diagnostic digital 3D models and tangible 3D prints. By importing DICOM images into the D2P standalone modular software, all necessary steps for 3D model segmentation and preparation are streamlined into a single workstation. Designed as a medical device, D2P facilitates pre-operative surgical planning and the creation of 3D-printed anatomical models for diagnostic use. Its distinctive image segmentation toolkit, paired with sophisticated virtual reality (VR) visualization, significantly reduces the time and effort required for clinicians and point-of-care (POC) personnel to produce customized anatomical models for their patients. Furthermore, the digital models generated by D2P can be utilized across various platforms, including 3D printers, VR systems, surgical planning applications, and CAD software, enhancing the overall flexibility and effectiveness of medical practices. This innovative approach not only improves surgical preparation but also fosters collaboration among healthcare professionals by providing them with precise and accessible anatomical representations.
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
Oqton
Founded
2017
Country
Belgium
Website
oqton.com/d2p/
Product Features
Medical Imaging
Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management
Product Features
3D Printing
Analytics
Customizable Support Structures
ERP
Integrates with CAD
Mesh Analysis and Repair
Model Setup and Plating
Multi-User Support and Permissions
Multiple/Shared Print Queues
Pre-Print Simulations
Print File Creation
Slicing
Medical Imaging
Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management