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We write on topics within the fields of Artificial Intelligence, Healthtech and Medical Imaging.

Clinical Studies

JOURNAL ARTICLE

A Deep Learning Algorithm for Radiographic Measurements of the Hip in Adults—A Reliability and Agreement Study
MDPI Diagnostics

JOURNAL ARTICLE

External Validation of an Artificial Intelligence Tool for Radiographic Knee Osteoarthritis Severity Classification
European Journal of Radiology

Our own publications

RBfracture™ reduces the number of missed fractures on X-rays for emergency physicians and experienced reporters

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RBfracture™ improves the diagnostic accuracy of Emergency Care professionals

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Embracing AI to enhance quality of care in Denmark

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Embracing AI to enhance quality of care in Denmark

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Understanding the real value AI can bring in Elective Care in the NHS

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Assesing an AI solution in medical imaging

Latest blog post

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QUALITY ASSURANCE

Introducing RBfracture™: A brand new trauma AI-tool now MDR certified

We are delighted to announce that Radiobotics’ RBfracture has been CE-marked under MDR (European Medical Device Regulations) as a class IIa medical device, making Radiobotics among some of the first movers with this particular certification.

Blog post archive

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QUALITY ASSURANCE

Case Study: UTMB Health has leveled up their X-Ray reporting with RBknee

UTMB Health has been using Radiobotics’ knee osteoarthritis tool, RBknee since mid 2021 and achieved a significant improvement in terms of consistency of reporting and has transformed their reporting patterns, thanks to RBknee.

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In it to win it: Best New Radiology Vendor Award

Radiobotics is honoured to announce that it has won the Best New Radiology Vendor Award at the Eurominnies 2022.

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QUALITY ASSURANCE

Case Study: Radiobotics has successfully installed its knee algorithm with positive feedback

Radiobotics has successfully installed its knee osteoarthritis product within GE Healthcare’s Edison™ Open AI Orchestrator and received positive feedback from EMRAD.

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QUALITY ASSURANCE

Validating our AI: How We Make Safe and Reliable Health Tech

The process behind getting technology ready for a clinical setting can seem daunting. In this interview, Martin Axelsen explains how we get our AI ready to market and how he sees the future of AI in health tech.

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Automated Marker Detection of X-Rays Errors using Machine Learning

Radiobotics has conducted a diagnostic of a Copenhagen hospital’s clinical knee x-ray production to analyse discrepancies in laterality markers which are used during x-ray acquisition.

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We’re proud to be part of The Hill’s Market Access Accelerator Program 2021

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QUALITY ASSURANCE

Radiobotics receives FDA clearance for its knee osteoarthritis product

Today, we are pleased to announce the achievement of a major milestone in Radiobotics history

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Challenges and promises of medical imaging: Interview with the new Chair of the Board, Ayse McCracken

Several challenges are driving the innovations in medical imaging. Ayse McCracken shares her insights and visions for the future of medical imaging.

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The Edison Accelerator Program: Strengthening collaboration between the healthtech ecosystem

Healthcare is an extremely complex industry to operate in and in order to bring significant value, we truly believe that we need the greatest clinician minds...

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QUALITY ASSURANCE

Our technology is now MDR certified

Radiobotics has just been certified according to ISO 13485 and according to the new European Medical Device Regulations (MDR). Also, our product RBknee has been CE marked under the MDR certification as a class IIa medical device.

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We’re going to the US

It’s been a long time coming, but we finally get to say it out loud; Radiobotics Inc. is now a reality!

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The 5 Biggest Challenges in building AI for Radiology

Building AI has its own challenges, building AI within a medical field presents a whole set of other issues. In this post our R&D team shares some of the key learnings and challenges that we’ve found...