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Part 1: Document Description
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Citation |
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Title: |
Replication Data and Supplementary Material for: Performance of Generative AI in Brazilian Portuguese Medical Exam |
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Identification Number: |
doi:10.7910/DVN/OLKIL3 |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2025-02-10 |
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Version: |
1 |
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Bibliographic Citation: |
Panse Silveira, Paulo Sergio; Gomes Rabelo, Amanda, 2025, "Replication Data and Supplementary Material for: Performance of Generative AI in Brazilian Portuguese Medical Exam", https://doi.org/10.7910/DVN/OLKIL3, Harvard Dataverse, V1 |
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Citation |
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Title: |
Replication Data and Supplementary Material for: Performance of Generative AI in Brazilian Portuguese Medical Exam |
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Identification Number: |
doi:10.7910/DVN/OLKIL3 |
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Authoring Entity: |
Panse Silveira, Paulo Sergio (Faculdade de Medicina da Universidade de São Paulo) |
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Gomes Rabelo, Amanda (Hospital Israelita Albert Einstein) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Panse Silveira, Paulo Sergio |
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Depositor: |
Panse Silveira, Paulo Sergio |
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Date of Deposit: |
2025-02-10 |
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Holdings Information: |
https://doi.org/10.7910/DVN/OLKIL3 |
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Study Scope |
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Keywords: |
Computer and Information Science, Medicine, Health and Life Sciences |
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Abstract: |
<p> This dataset contains the supplementary material and replication data associated with the article <em>"Performance of Generative AI in Brazilian Portuguese Medical Exam"</em> by Truyts et al., 2025. <p> The dataset includes two components: <br> (A) raw and processed data along with R and Python scripts used to generate the tables, figures, and statistical analyses in the article; <br> and (B) the original exam questions in Portuguese, their English translations, and evaluations by three physician observers. <br> <br> Additional analyses and visualizations not included in the manuscript are also provided. </p> |
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Notes: |
The article was coauthored by: </p> <ul> <li>César Augusto Madid Truyts (Einstein Global Advanced Technologies for Equity, Hospital Israelita Albert Einstein, São Paulo, Brazil)</li> <li>Amanda Gomes Rabelo (Einstein Global Advanced Technologies for Equity, Hospital Israelita Albert Einstein, São Paulo, Brazil)</li> <li>Gabriel Mesquita de Souza (Einstein Global Advanced Technologies for Equity, Hospital Israelita Albert Einstein, São Paulo, Brazil)</li> <li>Daniel Scaldaferri Lages (Departamento de Pacientes Graves, Hospital Israelita Albert Einstein, São Paulo, Brazil)</li> <li>Adriano José Pereira (Einstein Global Advanced Technologies for Equity, Hospital Israelita Albert Einstein, São Paulo, Brazil)</li> <li>Uri Adrian Prync Flato (Departamento de Pacientes Graves, Hospital Israelita Albert Einstein, São Paulo, Brazil)</li> <li>Eduardo Pontes dos Reis (Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, USA)</li> <li>Joaquim Edson Vieira (Departamento de Anestesiologia e Cirurgia, Faculdade de Medicina, Universidade de São Paulo, Brazil)</li> <li>Paulo Sergio Panse Silveira (Departamento de Informática Médica e Patologia, Faculdade de Medicina, Universidade de São Paulo, Brazil)</li> <li>Edson Amaro Junior (Faculdade Israelita de Ciências da Saúde Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, Brazil)</li> </ul> |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Label: |
Data and Scripts.pdf |
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Text: |
Raw and reorganized data used to produce the tables and graphs in the associated article. |
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Notes: |
application/pdf |
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Label: |
Data.zip |
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Text: |
Companion material: extract to the same folder where the appendix PDF is located. |
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Notes: |
application/zip |
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Label: |
Exam Questions.pdf |
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Text: |
Questions reproduced from the original medical residency entrance exam of the Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP): original version in Portuguese, English translation, and a summary of the evaluation of the AI’s performance. |
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Notes: |
application/pdf |
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Label: |
Figures.zip |
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Text: |
Companion material: extract to the same folder where the appendix PDF is located. |
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Notes: |
application/zip |
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Label: |
ScriptsPy.zip |
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Text: |
Companion material: extract to the same folder where the appendix PDF is located. |
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Notes: |
application/zip |
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Label: |
ScriptsR.zip |
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Text: |
Companion material: extract to the same folder where the appendix PDF is located. |
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Notes: |
application/zip |