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ease
features
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support

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Description

Our extensive range of products encompasses VNA, PACS systems, Radiology Information Systems (RIS), Diagnostic Viewers, and AI-driven Medical Diagnostic Support Solutions (MDSS) tailored for applications such as MMG, CT chest, ECG, and endoprosthesis imaging via X-ray. With over 300,000 active users each month and 20,000 units of diagnostic equipment seamlessly integrated with our PACS|VNA, we are proud to provide cutting-edge technological solutions designed to enhance patient care. We are eager to share our expertise in healthcare digitalization, aimed at enriching the lives of patients through improved diagnostic processes. Our commitment extends to facilitating the adoption of our solutions to streamline workflows for end users, including radiologists, oncologists, and cardiologists. Drawing on 14 years of experience collaborating with 5,000 clinics, we have developed core competencies that support a comprehensive and modular platform for the entire imaging process, independent of vendor constraints. Additionally, our AI-based medical decision support systems are designed to efficiently prioritize cases with pathologies on a single screen, utilizing a red-yellow-green alert system to enhance clinical decision-making. This innovative approach ensures that healthcare providers can focus on what truly matters: delivering exceptional patient care.

Description

Ibex Medical Analytics stands at the forefront of AI-driven cancer diagnostics within the field of pathology. Our diverse team comprises entrepreneurs, data scientists, software engineers, and medical professionals united in our mission to revolutionize cancer diagnostics through artificial intelligence, ultimately enhancing patient care. As the volume of tests continues to rise annually, pathologists face significant challenges in delivering precise and timely analyses. To address this, Ibex harnesses the power of AI to create clinical-grade solutions that aim to identify cancer with the same level of accuracy as a human pathologist. The Galen Platform employs advanced algorithms to scrutinize images, detect and classify cancer in biopsy samples, and highlight other clinically significant findings, thereby assisting pathologists in minimizing diagnostic errors while streamlining their workflow. Notably, Ibex’s Galen™ Prostate and Galen™ Breast solutions represent the pioneering AI-based cancer detection tools integrated into routine clinical practice in pathology labs, showcasing proven efficacy in uncovering previously missed cancer cases. As we continue to innovate, our commitment to improving cancer detection and patient outcomes remains unwavering.

API Access

Has API

API Access

Has API

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Integrations

No details available.

Integrations

No details available.

Pricing Details

$1000
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

ROKAPAX

Founded

2010

Country

Cyprus

Website

www.rokapax.com

Vendor Details

Company Name

Ibex Medical Analytics

Founded

2016

Country

Israel

Website

ibex-ai.com/solutions/the-galen-platform/

Product Features

Radiology

Audit Trail
Billing & Invoicing
Claims Management
EDI
EMR HL7 Bridge
Image Fusion
PACS Integration
Patient Scheduling
Scanning Input
Teleradiology
Wait List Management

Product Features

Medical Imaging

Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management

Alternatives

ProtonPACS Reviews

ProtonPACS

Radsource

Alternatives

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RadCare RIS

Rits Software
MedicsRIS Reviews

MedicsRIS

Advanced Data Systems