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RadioEye

Diagnosis Support Tool – for Atypical Cases

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Our Impact Potential

80,000h

of radiology work saved in DACH weekly

+27%

efficiency gain

820,000€

annual avg. revenue gain per radiology unit*

*Average annual revenue per doctors office in radiology, nuclear medicine, and radiotherapy in € from Statistisches Bundesamt: Kostenstruktur bei Arzt -und Zahnarztpraxen, sowie psychologischen Physiotherapeuten 2019

Our Vision

We thrive to be the worldwide gold standard in diagnosis support for radiologists. We strive for an image-based search tool that encompasses broad variants of pathologies from head to toe.

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 Artificial Intelligence made
useful and transparent

For our image search tool, we train a powerful convolutional neural network on thousands of images from different pathologies to learn a vector space for our database where similar images cluster.

Our Mission

We want to give radiologists confidence and reassurance for diagnosing atypical cases by offering an image-based collection of clinically validated cases. We will provide radiologists with everything they need for precise differential diagnoses and become the standard reference tool in radiology.
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Report with Confidence

The image case collection contains radiological images of verified diagnoses. RadioEye provides diagnosis support and reassurance for atypical or uncommon radiological findings. 

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Search by images, not by text

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

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Use by one mouse click

With the seamless integration into PACS, RadioEye will enhance  your workflow.

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Easy to use by setting filters

Find similar cases easily by manually setting  filters. This saves time in critical situations.

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AI based image search

RadioEye provides ranked images with similar patterns to help you think of all differentials.

Meet Our Team

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Katharina Erb-Eigner

PD Dr. med. Dr. med. univ.

Project Lead

Fully-Licensed Radiologist,

Scientific Work in Eye & Eye Socket MRI,

Department of Radiology, Charité 

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Sophie Au

BSc

Software Engineer,

B.Sc. Applied Computer Science

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Lorenz Rumberger

M.Sc.

Computer Vision Engineer,

PhD Candidate

Charité, Max Delbrück Center

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Winna Lim

MD

Radiologist in Training

Department of Radiology,

Charité

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Dr. med. Lyel Grumberg

Radiologist in Training

Department of Radiology,

Charité

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Dr. Yoni Goldwasser

Business Advisor

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Laura Moritz, M.Sc.

Product Lead

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Dipl. Inf. Simon Stemplinger

Software Development Advisor

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Ahi Sema Issever

PD Dr. med. 

Medical Lead 

Fully-Licensed Radiologist, Scientific Work in Muskulosceletal Radiology,

Department of Radiology, Charité

Currently we need

Co-Creation

National and international clinical cooperation partners for product development and testing.

Partnerships

Partnership with industry to test integration options.

Supported by

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