Assessing the accuracy and readability of ChatGPT 4.0's original and simplified responses to common patient questions regarding periacetabular osteotomy

Authors

Pablo Castañeda (ORCID: https://orcid.org/0000-0002-4076-6188)
Joel Wells (ORCID: https://orcid.org/0000-0002-4784-2665)
Elias Arellano (ORCID: https://orcid.org/0000-0003-4646-9042)
Blake C. Martin (ORCID: https://orcid.org/0009-0008-0278-5709)
John M Gaddis (ORCID: https://orcid.org/0009-0005-2777-9856)
Charles South
Yossef Alsabawi
Martin Salgado‐Flores

Institutions

Southern Methodist University (US)
The University of Texas Rio Grande Valley (US)
Texas Children's Hospital (US)
Baylor Scott & White Health (US)

Publication Details

Journal: Journal of Experimental Orthopaedics
Published: 2025-10-01
DOI: https://doi.org/10.1002/jeo2.70457
Citations: 1
Primary Topic: Artificial Intelligence in Healthcare and Education
Type: article
Field-Weighted Citation Impact: 0.65

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article

Assessing the accuracy and readability of ChatGPT 4.0's original and simplified responses to common patient questions regarding periacetabular osteotomy

Pablo Castañeda, Joel Wells, Elias Arellano, Blake C. Martin et al.

Oct 1, 2025

1 citations

Journal of Experimental Orthopaedics

Artificial Intelligence in Healthcare and Education

0.65

article

Assessing the accuracy and readability of ChatGPT 4.0's original and simplified responses to common patient questions regarding periacetabular osteotomy

Pablo Castañeda, Joel Wells, Elias Arellano, Blake C. Martin, John M Gaddis, Charles South, Yossef Alsabawi, Martin Salgado‐Flores

October 1, 2025article en

1 citations

Abstract

No abstract available for this paper.

Journal of Experimental OrthopaedicsVol. 12(4)

Southern Methodist University (US), The University of Texas Rio Grande Valley (US), Texas Children's Hospital (US), Baylor Scott & White Health (US)

Openalex Percentile: Top 21%

Artificial Intelligence in Healthcare and Education

0.65

DOI Open Access PDF OpenAlex

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