Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Arterys is an innovative medical imaging AI platform that seamlessly integrates advanced AI clinical applications into your existing PACS or EHR workflows, making it an intuitive extension of your current practices. Our goal is to bring AI into the forefront by enhancing physician experiences, improving diagnostic accuracy and treatment efficacy, optimizing financial outcomes, and providing significant benefits for both patients and healthcare providers. Accessible from any validated device through the cloud, it offers rapid performance and easy deployment without the exchange of PHI, ensuring complete security. Fully connected to PACS, RIS, EMR, and dictation software, Arterys enhances your workflow without disruption. Its rapid deployment capabilities require minimal on-premise infrastructure, and it is commercially available in more than 100 countries. The platform's elastic cloud GPU architecture significantly boosts the performance of various tasks, such as rendering complex 3D files, handling large multi-dimensional datasets, and executing multiple AI applications simultaneously in real time. Additionally, features like pre-fetching and image caching contribute to quicker loading times and more efficient analysis, making it an indispensable tool in modern healthcare. This comprehensive approach positions Arterys as a leader in transforming medical imaging through artificial intelligence.
Description
Top-tier medical image management operates efficiently within a HIPAA-compliant framework. Utilizing the industry-leading Mirror medical interface, along with a structured patient chart system and customizable libraries for diagnoses and procedures, Mirror PhotoFile serves as the essential foundation for medical image capture solutions. This system ensures that medical images remain readily available while also integrating robust HIPAA security features. Healthcare institutions rely on Mirror software to fulfill their medical image management requirements. The Mirror consultation application for iPad® merges effective image-based communication with the practicality of a tablet device. Users can access the extensive Mirror database consisting of client images and relevant data from any location within the facility. This connectivity allows clients to explore their options for aesthetic treatments seamlessly. Furthermore, by utilizing a secure, password-protected web portal, clients can privately view their images, proposed treatment plans, and progress updates from the comfort of their homes. This flexibility enhances the overall experience for both clients and healthcare providers.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Siemens Opcenter APS
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Siemens Opcenter APS
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
Arterys
Founded
2013
Country
United States
Website
arterys.com
Vendor Details
Company Name
Canfield Scientific
Founded
1988
Country
United States
Website
www.canfieldsci.com/imaging-systems/mirror/
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