RBhip™

Analysing Hip Dysplasia and Impingement on X-rays

RBhip™ is available for research only and is not for sale until certified

Reach out if you want automated measurements on your pelvic X-rays

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RBhip™ measures and analyses for

AI
Acetabular Index
LCE
LCE Angle
A
Alpha Angle
JSW
Minimum Femoroacetabular Joint Space Width in mm
OFI
Obturator Foramen Index

Time saving

Automates tedious measurements

Currently under clinical investigation

Quality assurance

Automated check of projection quality

Currently under clinical investigation

Real time & Cloud based

Automated measurements available within seconds

Study

Increasing consistency in reporting

A study of RBhip was carried out in Denmark to assess the impact of using RBhip™ for Orthopaedic Surgeons and MSK Radiologists.

RBhip™ showed highest agreement with Orthopaedic expert staff
RBhip™ had 100% reproducible results
RBhip™ is able to identify key measurements for hip dysplasia diagnosis

Benjamin S. Rasmussen
‍‍Associate Professor
Odense University Hospital

“Using RBhip™ shows the promise to increase consistency in hip x-ray analysis. Hopefully, this tool can enable better patient diagnostics and ultimately timely treatment for patients with hip dysplasia and impingement”

Read the publication

RBhip™

Analysing Hip Dysplasia and Impingement on X-rays

RBhip™ is available for research only and is not for sale until certified

RBhip™ measures and analyses for

Time saving

Quality assurance

Real time & Cloud based

RBhip™ shown to have good-to-excellence agreement with expert Orthopaedic Surgeon users

Study

Increasing consistency in reporting

Benjamin S. Rasmussen
‍‍Associate Professor
Odense University Hospital

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

RBhip™

Analysing Hip Dysplasia and Impingement on X-rays

RBhip™ is available for research only and is not for sale until certified

RBhip™ measures and analyses for

Time saving

Quality assurance

Real time & Cloud based

RBhip™ shown to have good-to-excellence agreement with expert Orthopaedic Surgeon users

Study

Increasing consistency in reporting

Benjamin S. Rasmussen‍‍Associate ProfessorOdense University Hospital

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

Benjamin S. Rasmussen
‍‍Associate Professor
Odense University Hospital