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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.
Description
InformAI specializes in artificial intelligence solutions designed to enhance medical diagnostics at the point-of-care and boost the efficiency of radiologists. Our advanced AI-driven image classifiers and predictions related to patient outcomes are developed in collaboration with the Texas Medical Center, which is the largest medical center complex globally. Through partnerships with esteemed healthcare organizations, prominent physician associations, and top medical imaging firms, InformAI is revolutionizing healthcare delivery. Our team is made up of experts in the fields of healthcare, medicine, and artificial intelligence, working together to create innovations that lead to better patient results. One of our notable products, the InformAI Sinus Image Classifier, utilizes a 3D convolutional neural network (CNN) and is trained on a comprehensive library of 6 million radiology-validated 3D CT-scan images, showcasing our commitment to leveraging cutting-edge technology in the medical field. This approach not only enhances diagnostic accuracy but also contributes to more timely and effective patient care.
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
Oqton
Founded
2017
Country
Belgium
Website
oqton.com/d2p/
Vendor Details
Company Name
InformAI
Founded
2017
Country
United States
Website
www.informai.com
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
Product Features
Medical Imaging
Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management