Who are we?
OrthoPred works on MSK radiology reporting automation based on deep learning technology.
DeepKnee
OrthoPred is developing a clinical decision supporting software with a spotlight on autonomous musculoskeletal medical image interpretation based on deep learning technology. Our primary product focuses on the automatic assessment of knee MRI exams.
Product
Why should you use it?
1
Shorter reporting time,  automatic triage list, prompt patient feedback
Shorter reporting time, automatic triage list, prompt patient feedback
2
Decreased risk of misdiagnoses, Increased diagnostic precision, second opinions
Decreased risk of misdiagnoses, Increased diagnostic precision, second opinions
3
Graphical reports: effective communication between the patient, radiologist & orthopedic surgeon
Graphical reports: effective communication between the patient, radiologist & orthopedic surgeon
Product
Clinical workflow integration
Our deepKnee application can be quickly & easily integrated into your PACS workflow: a clinical validation study has already started at Semmelweis University and Buda Health Center.
News & Events
RSNA 2022
December 5, 2022

RSNA 2022

We have been attended RSNA 2022 in Chicago. We introducted our DeepKnee solution.

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Anatomy annotation as a service for patient comfort
October 20, 2022

Anatomy annotation as a service for patient comfort

Medical Point is using OrthoPred’s fully automatic anatomy annotation software.

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MEDICA 2022
October 12, 2022

MEDICA 2022

Meet us at MEDICA Trade Fair! We will demonstrate our DeepKnee solution in Düsseldorf 14-17 November 2022!

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Team

Andor Viktor Gál

founder, CEO

György Zsiga

Co-founder, Chief Medical Officer

József Edőcs

Co-founder, Chief Technical Officer

Attila Khader

Chief Financial Officer

 

Partners

We have numerous ongoing collaborations with private imaging centers and universities.  Medical Imaging Centre at Semmelweis University and Buda Health Center are our current official clinical validation study sites. We seek further partners who are interested in the development, test and application of our deep learning solutions. Contact us at: info@orthopred.com