Replication Data and Supplementary Material for: Performance of Generative AI in Brazilian Portuguese Medical Exam

Version 1.0
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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Description

This dataset contains the supplementary material and replication data associated with the article "Performance of Generative AI in Brazilian Portuguese Medical Exam" by Truyts et al., 2025.

The dataset includes two components:
(A) raw and processed data along with R and Python scripts used to generate the tables, figures, and statistical analyses in the article;
and (B) the original exam questions in Portuguese, their English translations, and evaluations by three physician observers.

Additional analyses and visualizations not included in the manuscript are also provided.

Subject Medicine, Health and Life Sciences; Computer and Information Science
Notes The article was coauthored by:

  • César Augusto Madid Truyts (Einstein Global Advanced Technologies for Equity, Hospital Israelita Albert Einstein, São Paulo, Brazil)
  • Amanda Gomes Rabelo (Einstein Global Advanced Technologies for Equity, Hospital Israelita Albert Einstein, São Paulo, Brazil)
  • Gabriel Mesquita de Souza (Einstein Global Advanced Technologies for Equity, Hospital Israelita Albert Einstein, São Paulo, Brazil)
  • Daniel Scaldaferri Lages (Departamento de Pacientes Graves, Hospital Israelita Albert Einstein, São Paulo, Brazil)
  • Adriano José Pereira (Einstein Global Advanced Technologies for Equity, Hospital Israelita Albert Einstein, São Paulo, Brazil)
  • Uri Adrian Prync Flato (Departamento de Pacientes Graves, Hospital Israelita Albert Einstein, São Paulo, Brazil)
  • Eduardo Pontes dos Reis (Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, USA)
  • Joaquim Edson Vieira (Departamento de Anestesiologia e Cirurgia, Faculdade de Medicina, Universidade de São Paulo, Brazil)
  • Paulo Sergio Panse Silveira (Departamento de Informática Médica e Patologia, Faculdade de Medicina, Universidade de São Paulo, Brazil)
  • Edson Amaro Junior (Faculdade Israelita de Ciências da Saúde Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, Brazil)
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Data and Scripts.pdf
Adobe PDF - 418.7 KB
Published Feb 10, 2025
8 Downloads
MD5: bdbd684be5ac0b4458e545736d04bbf4
Raw and reorganized data used to produce the tables and graphs in the associated article.
Preview "Data and Scripts.pdf"
Data.zip
ZIP Archive - 873.8 KB
Published Feb 10, 2025
3 Downloads
MD5: 3e23bd73aab8cd7c376dab810afc5612
Companion material: extract to the same folder where the appendix PDF is located.
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Exam Questions.pdf
Adobe PDF - 7.8 MB
Published Feb 10, 2025
2 Downloads
MD5: 53de0c55eccbfc0079eb0806da5a870f
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.
Preview "Exam Questions.pdf"
Figures.zip
ZIP Archive - 125.4 KB
Published Feb 10, 2025
2 Downloads
MD5: 802a47a3221d9c6e9f78f96a00408c9f
Companion material: extract to the same folder where the appendix PDF is located.
Preview "Figures.zip"
ScriptsPy.zip
ZIP Archive - 2.9 KB
Published Feb 10, 2025
2 Downloads
MD5: cfa0e1a8fb294ffe79eaff174910cd45
Companion material: extract to the same folder where the appendix PDF is located.
Preview "ScriptsPy.zip"
ScriptsR.zip
ZIP Archive - 19.5 KB
Published Feb 10, 2025
2 Downloads
MD5: 2e91a01b6ddd5e5928adee86b25707f2
Companion material: extract to the same folder where the appendix PDF is located.
Preview "ScriptsR.zip"
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