<b>Open access supplement to the manuscript: </b>Bosbach WA, Schoeni L, Beisbart C, et al. Evaluating the Diagnostic Accuracy of ChatGPT-4.0 in Classifying Multimodal Musculoskeletal Masses: A Comparative Study with Human Raters. RöFo. 2025 Jun 3. do

<b>This is the open access supplement to the publication</b><br>Bosbach WA, Schoeni L, Beisbart C, et al. Evaluating the Diagnostic Accuracy of ChatGPT-4.0 in Classifying Multimodal Musculoskeletal Masses: A Comparative Study with Human Raters. RöFo. 2025 Jun 3. doi: 10.1055/a-2594-7085. Online ahead of print.<br><b>Data files:</b><br>S 1: Image data with original source, and true diagnosis (.pdf)S 2: Zip folder, image files merged per case (.jpg)<br>S 3: Survey for human participants implemented in Google-Forms (.pdf)S 4: Study answers collected from human participants and ChatGPT (.xlsx)<br>S 5: Python code for data evaluation (.py)

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28560842
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Open access supplement to the manuscript: Bosbach WA, Schoeni L, Beisbart C, et al. Evaluating the Diagnostic Accuracy of ChatGPT-4.0 in Classifying Multimodal Musculoskeletal Masses: A Comparative Study with Human Raters. RöFo. 2025 Jun 3. do

Figshare
Artificial Intelligence in Healthcare and Education
article

Open access supplement to the manuscript: Bosbach WA, Schoeni L, Beisbart C, et al. Evaluating the Diagnostic Accuracy of ChatGPT-4.0 in Classifying Multimodal Musculoskeletal Masses: A Comparative Study with Human Raters. RöFo. 2025 Jun 3. do

article en

Abstract

<b>This is the open access supplement to the publication</b><br>Bosbach WA, Schoeni L, Beisbart C, et al. Evaluating the Diagnostic Accuracy of ChatGPT-4.0 in Classifying Multimodal Musculoskeletal Masses: A Comparative Study with Human Raters. RöFo. 2025 Jun 3. doi: 10.1055/a-2594-7085. Online ahead of print.<br><b>Data files:</b><br>S 1: Image data with original source, and true diagnosis (.pdf)S 2: Zip folder, image files merged per case (.jpg)<br>S 3: Survey for human participants implemented in Google-Forms (.pdf)S 4: Study answers collected from human participants and ChatGPT (.xlsx)<br>S 5: Python code for data evaluation (.py)

Figshare
Openalex Percentile: Top 56%
Artificial Intelligence in Healthcare and Education
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