Share:
Peer-Reviewed Publication
Skeletal Radiol2025;54(10):2097-2106.October 1, 2025Journal Article

Are artificial intelligence generated lower extremity radiographic measurements accurate in a cohort with implants?

Holden Archer1, Shuda Xia2, Seth Reine2, Louis Camilo Vazquez2, Oganes Ashikyan2, Parham Pezeshk2, Ajay Kohli2, Yin Xi2, Joel E Wells3, Allan Hummer4, Matthew Difranco4, Avneesh Chhabra5,6,7,8,9
1Department of Orthopaedic Surgery, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, UT Southwestern, Dallas, Tx, 75390 - 9178, USA.
2Department of Radiology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA.
3Department of Orthopaedic Surgery, Baylor Scott & White, 5220 W University Dr, McKinney, TX, 75071, USA.
4IB Lab GmbH, Zehetnergasse 6/2/2, 1140, Vienna, Austria.
5Department of Orthopaedic Surgery, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, UT Southwestern, Dallas, Tx, 75390 - 9178, USA. avneesh.chhabra@utsouthwestern.edu.
6Department of Radiology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA. avneesh.chhabra@utsouthwestern.edu.
7Adjunct Faculty- Johns Hopkins University, Maryland, MD, USA. avneesh.chhabra@utsouthwestern.edu.
8University of Dallas, Richardson, Tx, USA. avneesh.chhabra@utsouthwestern.edu.
9Walton Centre for Neurosciences, Liverpool, UK. avneesh.chhabra@utsouthwestern.edu.

Abstract

OBJECTIVE: Leg length discrepancy (LLD) and malalignment of the lower extremity can lead to pain and increased risk of osteoarthritis. Radiographic measurements on anteroposterior (AP) full-length radiographs can be used to assess LLD and lower extremity alignment. The primary aim of this study was to evaluate the accuracy of AI software in performing lower extremity radiographic measurements in p…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.