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RadioEye

AI-Powered Image Retrieval Tool for Reading MRIs

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Report with More Accuracy

Our proprietary reference database contains radiological images with clinically and/or

histologically verified diagnoses, providing 

confidence in radiological findings

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Search by Images, Not by Text

Browse through a validated set of MRI cases that will help you in your diagnosis

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 One - Click
Functionality

With seamless integration into PACS, RadioEye will enhance  your workflow

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High - Quality Reference Materials

Compare your MRI case to a vast library of images with validated diagnoses

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AI-Based
Image Search

RadioEye provides images with similar patterns to help you evaluate potential differential diagnoses

The RadioEye Impact:
Report with Increased Accuracy, Confidence, and Efficiency*

+26%

Increase in Overall

Diagnostic Accuracy vs Current 

Standard of Care

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+49%

Increase in Diagnostic Accuracy

When Incorporated into Standard of Care

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RadioEye improved accuracy across all experience levels and perceived scan difficulties

Radiologists reported that they were more confident in their diagnosis when using RadioEye 

+92%

Increase in Diagnostic Accuracy

Among Radiologists with No Experience Reading Eye/Orbit Scans,

RadioEye added to Standard of Care

+29%

Faster Time to Diagnosis

When Using RadioEye Alone

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*Based on alpha study results, May 2024. Retrospective study conducted with 36 radiologists. For more details, please refer to our study here: 

https://www.medrxiv.org/content/10.1101/2024.07.24.24310920v1

Our Mission

Our Mission is to improve patient outcomes by increasing accuracy,

confidence, and efficiency in diagnosing radiological images

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Harnessing the Power of AI to Improve Diagnostic Accuracy

For our image search tool, we train a powerful neural network on millions of MR images across different pathologies to identify similar image clusters

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Collaboration Opportunities

Radiology Partners
For collaboration on product development, clinical validation, and early commercial access
Industry Partners

To explore integration synergies and distribution opportunities

Supported by

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Charité – Universitätsmedizin Berlin​

Department of Radiology

Augustenburger Platz 1
13353  Berlin

Charité – Universitätsmedizin Berlin

Department of Radiology

Augustenburger Platz 1
13353  Berlin

© 2024 RadioEye

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