Determining the reliability of Artificial Intelligence programs in medical faculty board exams

While the study found that AI applications provide higher accuracy compared to students, systems that fail to achieve 100% accuracy are not suitable for unrestricted and unsupervised use in critical basic medical sciences like anatomy. Because AI models lack clinical reasoning and human experience, they should be used only as supplementary educational tools and integrated in a controlled manner to enhance student success.

Institutions

Publication Details

Journal
Pakistan Journal of Medical Sciences
Published
2025-11-26
DOI
https://doi.org/10.12669/pjms.41.12.12855
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

Funders

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article

Determining the reliability of Artificial Intelligence programs in medical faculty board exams

Pakistan Journal of Medical Sciences
Artificial Intelligence in Healthcare and Education
article

Determining the reliability of Artificial Intelligence programs in medical faculty board exams

article en

Abstract

While the study found that AI applications provide higher accuracy compared to students, systems that fail to achieve 100% accuracy are not suitable for unrestricted and unsupervised use in critical basic medical sciences like anatomy. Because AI models lack clinical reasoning and human experience, they should be used only as supplementary educational tools and integrated in a controlled manner to enhance student success.

Pakistan Journal of Medical SciencesVol. 41(12)
Giresun University (TR)
Ordu Üniversitesi
Quality Education
Openalex Percentile: Top 44%
Artificial Intelligence in Healthcare and Education
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Determining the reliability of Artificial Intelligence programs in medical faculty board exams · Pakistan Journal of Medical Sciences (2025) | TGRS Research Map | TGRS