Published on in Vol 10 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82980, first published .
Correction: Can Artificial Intelligence Diagnose Knee Osteoarthritis?

Correction: Can Artificial Intelligence Diagnose Knee Osteoarthritis?

Correction: Can Artificial Intelligence Diagnose Knee Osteoarthritis?

Corrigenda and Addenda

1Albany Medical College, Albany, NY, United States

2University of Virginia School of Medicine, Charlottesville, VA, United States

3School of Medicine, Virginia Commonwealth University, Richmond, VA, United States

4St. James School of Medicine, Binghamton, NY, United States

5Rush Medical College, Chicago, IL, United States

6Kaweah Health, Visalia, CA, United States

Corresponding Author:

Mihir Tandon, BA

Albany Medical College

43 New Scotland Ave

Albany, NY, 12208

United States

Phone: 1 3322488708

Email: tandonm@amc.edu



In “Can Artificial Intelligence Diagnose Knee Osteoarthritis?” (JMIR Biomed Eng 2025;10:e67481), the authors made two corrections.

In the originally published version, Figure 1 displayed two of the Y-axis labels incorrectly. The label “Arthritis” was placed next to the row representing X-rays without arthritis, and the label “No Arthritis” was placed next to the row representing X-rays with arthritis.

Figure 1. Sensitivity and specificity of Chat-GPT4o in analyzing knee osteoarthritis X-rays.

The text in Figure 1 has been corrected so that the Y-axis labels align with the data:

  • The top row is labeled “No Arthritis”, representing X-rays of knees without arthritis.
  • The bottom row is labeled “Arthritis”, representing X-rays of knees with arthritis.

The X-axis label, “GPT-4o Prediction of Absence or Presence of Arthritis” and the Y-axis label, “True Presence or Absence of Arthritis”, have been reformatted to span the entire length of the figure rather than being stacked to improve both readability and overall appearance.

Additionally, an Authors’ Contributions section has been added to the manuscript using the CREdiT taxonomy format:

Conceptualization: NC (lead), MT (equal), KS (equal)
Data curation: AM (lead), MT (equal), SS (supporting), SV (supporting), JC (supporting)
Formal analysis: JC (lead), JS (supporting), MC (supporting), SV (supporting), AM (supporting)
Funding acquisition: KS (lead)
Investigation: SS (lead), KS (equal), BZ (supporting), SV (supporting)
Methodology: MT (lead), NC (equal), KS (equal), AM (supporting)
Resources: SV (lead), JC (supporting)
Software: JC (lead), AM (supporting)
Supervision: KS (lead), MT (equal), NC (equal)
Validation: JS (lead), JC (equal), MC (equal)
Visualization: MT (lead), MC (equal), SS (supporting)
Writing – original draft: MT (lead), NC (equal), BZ (supporting), SS (supporting), AM (supporting)
Writing – review & editing: JS (lead), SV (equal), JC (equal), MC (supporting), KS (supporting)

The correction will appear in the online version of the paper on the JMIR Publications website together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

This is a non–peer-reviewed article. submitted 25.08.25; accepted 28.08.25; published 12.09.25.

Copyright

©Mihir Tandon, Nitin Chetla, Adarsh Mallepally, Botan Zebari, Sai Samayamanthula, Jonathan Silva, Swapna Vaja, John Chen, Matthew Cullen, Kunal Sukhija. Originally published in JMIR Biomedical Engineering (http://biomsedeng.jmir.org), 12.09.2025.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Biomedical Engineering, is properly cited. The complete bibliographic information, a link to the original publication on https://biomedeng.jmir.org/, as well as this copyright and license information must be included.