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What is RADIOLens?

Radiolens is a cutting-edge PACS radiology workflow solution driven by AI technology, which significantly improves diagnostic processes by automatically detecting low-quality scans and creating preliminary reports across various common imaging modalities. By fostering clinical collaboration and enhancing workflow efficiency, this system facilitates better decision-making in medical environments. It incorporates automated task assignments to effectively manage workload distribution while offering both quantitative and qualitative insights, which boosts the speed and precision of reporting. Furthermore, it boasts a user-friendly DICOM Viewer, enabling case access from mobile devices and removing the necessity for on-site attendance due to its cloud-based infrastructure. Users benefit from immediate notifications on their devices, ensuring they are promptly updated. Radiolens stands out with its remarkable accuracy, limitless image backup, and easy archiving options, along with instant AI-driven biomarkers that provide critical qualitative and quantitative metrics including CCAP diameter, listhesis, compression fractures, IV disc height, and thecal sac measurements. Additionally, its intelligent server seamlessly matches templates to studies according to the patient's gender and the modality being utilized, further optimizing the workflow. This holistic approach not only boosts the efficiency of radiology departments but also significantly enhances the overall quality of patient care, making it an indispensable tool in modern healthcare settings. By integrating advanced technology with user-centric features, Radiolens sets a new standard in radiological practices.

What is Miele-LXIV?

Miele-LXIV is a sophisticated 64-bit DICOM viewer and workstation developed by Alex Bettarini. The version designed for macOS is created using Objective-C and compiled with Xcode, and it is available for free download. On the other hand, the Windows and Linux editions have been completely re-engineered in C++ with the help of CMake and wxWidgets, currently featuring about 25% of the capabilities found in the macOS version. For users interested in the Windows version, it requires OpenGL (Core profile), and they can obtain a free evaluation version by contacting the developer directly. The Linux version, which is built with gcc, also necessitates OpenGL drivers (Core profile) and has been tested successfully on Ubuntu 24.04 and Linux Mint 22.1. Beyond serving as a DICOM workstation and viewer, Miele-LXIV also offers a range of additional functionalities. This initiative began in November 2014 as an offshoot of the popular open-source 32-bit project OsiriX, and it has since undergone extensive adaptations to become a fully functional 64-bit application, addressing many limitations of its predecessor. As Miele-LXIV evolves, the goal remains to enhance both user experience and operational capabilities even further, ensuring it meets the demands of its users.

Media

Media

Integrations Supported

C++
Objective-C
OpenGL
Visual Studio
Xcode

Integrations Supported

C++
Objective-C
OpenGL
Visual Studio
Xcode

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Synapsica

Company Location

India

Company Website

synapsica.com/radiolens/

Company Facts

Organization Name

DICOM Software

Company Location

United States

Company Website

dicom.3utilities.com/viewer.php

Categories and 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

Categories and Features

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