Assessing ChatGPT-4’s Capabilities in Generating Dermatology Board Examination Content: An Explorational Study

Authors

  • Jonathan Shapiro Maccabi Healthcare Services, Tel Aviv-Yafo, Israel
  • Anna Lyakhovitsky Department of Dermatology, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; School of Medicine, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
  • Tamar Freud Ben-Gurion University of the Negev, Beer-Sheva, Israel
  • Felix Pavlotsky Department of Dermatology, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; School of Medicine, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
  • Ziyad Khamaysi Department of Dermatology, Rambam Health Care Campus, Haifa, Israel; Technion Faculty of Medicine, Haifa, Israel
  • Yulia Valdman-Grinshpoun Soroka Medical University Center, Beer-Sheva, Israel
  • Roni Dodiuk-Gad Department of Dermatology, Emek Medical Center, Afula, Israel; Technion Faculty of Medicine, Haifa, Israel; Division of Dermatology, Department of Medicine, University of Toronto, Canada
  • Ilan Goldberg Division of Dermatology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel; School of Medicine, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel,
  • Arieh Ingber Hadassah medical center, Jerusalem, Israel
  • Baruch Kaplan Adelson School of Medicine, Ariel university, Ariel, Israel
  • Emily Avitan-Hersh Department of Dermatology, Rambam Health Care Campus, Haifa, Israel; Technion Faculty of Medicine, Haifa, Israel

DOI:

https://doi.org/10.2340/actadv.v105.41208

Keywords:

artificial intelligence, specialty boards, knowledge management

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References

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https://doi.org/10.1177/12034754231188437 DOI: https://doi.org/10.1177/12034754231188437

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https://doi.org/10.2196/46885 DOI: https://doi.org/10.2196/46885

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https://doi.org/10.7759/cureus.43717 DOI: https://doi.org/10.7759/cureus.43717

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Kung TH, Cheatham M, Medenilla A, Sillos C, De Leon L, Elepaño C, et al. Performance of ChatGPT on USMLE: potential for AI-assisted medical education using large language models. PLOS Digit Health 2023; 2: e0000198.

https://doi.org/10.1371/journal.pdig.0000198 DOI: https://doi.org/10.1371/journal.pdig.0000198

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Gilson A, Safranek CW, Huang T, Socrates V, Chi L, Taylor RA, et al. How does ChatGPT perform on the United States Medical Licensing Examination (USMLE)? The implications of large language models for medical education and knowledge assessment. JMIR Med Educ 2023; 9: e45312.

https://doi.org/10.2196/45312 DOI: https://doi.org/10.2196/45312

Passby L, Jenko N, Wernham A. Performance of ChatGPT on Specialty Certificate Examination in Dermatology multiple-choice questions. Clin Exp Dermatol 2024; 49: 722-727.

https://doi.org/10.1093/ced/llad197 DOI: https://doi.org/10.1093/ced/llad197

Additional Files

Published

2025-01-03

How to Cite

Shapiro, J., Lyakhovitsky, A., Freud, T., Pavlotsky, F., Khamaysi, Z., Valdman-Grinshpoun, Y. ., … Avitan-Hersh, E. (2025). Assessing ChatGPT-4’s Capabilities in Generating Dermatology Board Examination Content: An Explorational Study. Acta Dermato-Venereologica, 105, adv41208. https://doi.org/10.2340/actadv.v105.41208

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