Benchmarking Large Language Models ( <scp>LLMs</scp> ) Against Medical Students Using Psychometrically Evaluated Authentic Clinically Oriented Anatomy Multiple‐Choice Questions ( <scp>MCQs</scp> ) at the Apply and Analyze Levels of Bloom's Taxonomy

Serdar Babacan

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DOI: 10.1002/ca.70240
Published: 2026-10-01
Container: Clinical Anatomy
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/ca.70240,
  title = {Benchmarking Large Language Models (
                    <scp>LLMs</scp>
                    ) Against Medical Students Using Psychometrically Evaluated Authentic Clinically Oriented Anatomy Multiple‐Choice Questions (
                    <scp>MCQs</scp>
                    ) at the Apply and Analyze Levels of Bloom's Taxonomy},
  author = {Serdar Babacan},
  year = {2026},
  journal = {Clinical Anatomy},
  doi = {10.1002/ca.70240},
  url = {https://doi.org/10.1002/ca.70240}
}

RIS

TY  - JOUR
TI  - Benchmarking Large Language Models (
                    <scp>LLMs</scp>
                    ) Against Medical Students Using Psychometrically Evaluated Authentic Clinically Oriented Anatomy Multiple‐Choice Questions (
                    <scp>MCQs</scp>
                    ) at the Apply and Analyze Levels of Bloom's Taxonomy
AU  - Serdar Babacan
PY  - 2026
JO  - Clinical Anatomy
DO  - 10.1002/ca.70240
UR  - https://doi.org/10.1002/ca.70240
ER  -

APA

Babacan, S. (2026). Benchmarking Large Language Models ( <scp>LLMs</scp> ) Against Medical Students Using Psychometrically Evaluated Authentic Clinically Oriented Anatomy Multiple‐Choice Questions ( <scp>MCQs</scp> ) at the Apply and Analyze Levels of Bloom's Taxonomy. Clinical Anatomy. https://doi.org/10.1002/ca.70240

Source records

crossref · retrieved 2026-11-10T11:56:23.070Z