AI Diagnosis of Hip Misalignments Proves Reliable, Fast and Cost Efficient

A validation study by The University of Texas Southwestern (UTSW) Medical Center in Dallas confirms the advantages of an artificial intelligence software by ImageBiopsy Lab as part of the standard diagnosis of hip dysplasia
By: ImageBiopsy Lab
VIENNA - Dec. 15, 2022 - PRLog -- -          High reliability of AI based radiological image analysis of hip joints

-          Up to 90% time saving with AI-based measures compared to human assessment

-          More than 80 % savings on labor costs

The deployment of an artificial intelligence (AI) based image analysis software for the diagnosis of hip dysplasia can save time and costs without compromising the reliability of the diagnosis. This is the result of a recently published external validation study that tested IB Lab HIPPO - a musculoskeletal software tool by ImageBiopsy Lab, Austria (IB Lab). Currently the diagnosis of hip dysplasia, an abnormality of the hip joint, is based on time and cost consuming manual radiological measurements. The study conducted at the University of Texas Southwestern Medical Center shows that using an AI tool for image analysis can significantly accelerate the diagnosis and result in saving labor costs of highly trained experts. In a cohort of 256 hips, HIPPO managed to perform all six relevant measurements for Hip Dysplasia assessment and the study confirmed good to excellent inter-reader reliability for important bone parameters measured by HIPPO and trained experts, demonstrating the reliability of artificial intelligence based automated analysis. Recently the results have been presented at the annual meeting of the Radiological Society of North America (RSNA).

About ImageBiopsy Lab

ImageBiopsy Lab (IB Lab) is the global leader in developing and certifying state-of-the-art AI-based software for image analyses and workflow tasks in musculoskeletal (MSK) radiology, orthopedic surgery, and traumatology. Their deep tech platform has been built to automatically read and prioritize large numbers of MSK-imaging data, thus freeing valuable physician resources and providing structured data sets for population health aspects. IBL's mission is to enable a change of management in MSK use cases by standardizing this highly subjective diagnostic workflow for improved patient care. With offices in Europe and the US, IBL is constantly expanding its network of research and commercial partners, having been selected "Best New Radiology Vendor 2021" by the prestigious radiology community platform "AuntMinnie Europe".

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