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Description
DWV, or DICOM Web Viewer, is an efficient and open-source tool for viewing DICOM images, developed using JavaScript and HTML5, which operates seamlessly within contemporary web browsers, eliminating the need for any extra plugins or installations. This viewer empowers users to engage with DICOM medical images through widely used web technologies, featuring capabilities such as adjusting window/level settings, zooming in and out, panning across images, and measuring distances and angles, along with inspecting DICOM tags. Additionally, DWV accommodates various image layouts and supports both multi-frame and multi-series DICOM files, ensuring comprehensive functionality. Users can annotate images with basic tools and can easily load files from local storage or via URLs, enhancing usability. The viewer's drag-and-drop feature allows for convenient file management, and its flexible architecture enables developers to embed it into tailored web applications. Actively maintained on GitHub, DWV prioritizes responsive design, ensuring optimal accessibility across a range of devices including desktops, tablets, and smartphones, making it a versatile solution for medical imaging needs. Moreover, the viewer's ongoing updates and community support contribute to its robustness and reliability in handling medical image data.
Description
Radiolens is an innovative PACS radiology workflow solution powered by AI that enhances diagnostic processes by automatically identifying low-quality scans and generating preliminary reports for various common modalities. This system promotes clinical collaboration and improves workflow efficiency, leading to better-informed decision-making. It features automated task assignments to optimize workload distribution and provides actionable insights that are both quantitative and qualitative, enhancing the speed and accuracy of reporting. Additionally, it includes a lightweight DICOM Viewer that allows users to access cases from mobile devices, thereby eliminating the need for on-site presence with its cloud-based solution. Users receive real-time notifications on their devices, ensuring timely updates. With top-notch accuracy, unlimited image backup, and straightforward archiving capabilities, Radiolens also delivers instant AI-evaluated biomarkers for essential qualitative and quantitative metrics such as CCAP diameter, listhesis, compression fractures, IV disc height, and thecal sac measurements. Its intelligent server automatically matches templates to studies based on the patient's gender and the modality being used, streamlining the workflow further. This comprehensive approach not only enhances the efficiency of radiology departments but also significantly elevates the quality of patient care.
API Access
Has API
API Access
Has API
Integrations
GitHub
HTML
JavaScript
OsiriX
Pricing Details
Free
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
DWV
Country
United States
Website
ivmartel.github.io/dwv/
Vendor Details
Company Name
Synapsica
Country
India
Website
synapsica.com/radiolens/
Product Features
Product Features
PACS
Comparison View
Data Compression
Diagnostic Reporting
HL7 Support
Image Management
Mobile Access
Non-DICOM Imaging Support
Patient Portal
Referring Physician Portal
Voice Recognition
Radiology
Audit Trail
Billing & Invoicing
Claims Management
EDI
EMR HL7 Bridge
Image Fusion
PACS Integration
Patient Scheduling
Scanning Input
Teleradiology
Wait List Management
