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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 MiNNOVAA?

MiNNOVAA is a company focused on advancing medical information technology, particularly in medical imaging software and the sharing of medical images. Emphasizing "medical imaging innovation," we distinguish ourselves through agility and cutting-edge technology in the development of our solutions. Our primary focus areas include creating medical image viewers, optimizing radiology workflows, and integrating artificial intelligence into diagnostic reporting. Our dynamic team consists of approximately 20 talented programmers and product managers, along with experts in marketing, sales, technical support, call center operations, and administration, all committed to initiating significant changes in medical imaging and improving healthcare experiences for individuals. We provide a holistic clinical imaging IT solution specifically designed for mid-sized hospitals and imaging clinics, offering a comprehensive suite of features such as core PACS software on-premise, a DICOM web viewer, multi-platform imaging workstation software, seamless integration with EHR/EMR/HIS systems, and a robust workflow engine/RIS. Our dedication to innovation and all-encompassing solutions ultimately seeks to transform the approach and application of medical imaging within healthcare environments. By continuously evolving our offerings, we aim to not only meet current needs but also anticipate future advancements in healthcare technology.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Synapsica

Company Location

India

Company Website

synapsica.com/radiolens/

Company Facts

Organization Name

MiNNOVAA

Date Founded

2022

Company Location

Estonia

Company Website

minnovaa.com

Categories and Features

DICOM Viewers

Not specified

PACS

Not specified

Radiology

Not specified

Categories and Features

DICOM Viewers

Not specified

Medical Imaging

Not specified

PACS

Not specified

Radiology

Not specified

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