DeepSeek-R1 for automated scoring in radiology residency examinations: an agreement and test–retest reliability study

The performance of DeepSeek-R1 was comparable to that of radiologists in the evaluation of radiology residents' reports. The integration of DeepSeek-R1 into medical education could effectively assist in assessment tasks, potentially alleviating faculty workload while preserving the quality of evaluations.

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Publication Details

Journal
BMC Medical Education
Published
2025-11-11
DOI
https://doi.org/10.1186/s12909-025-08184-6
Primary Topic
Radiology practices and education
Type
article
Field-Weighted Citation Impact
0.00

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article

DeepSeek-R1 for automated scoring in radiology residency examinations: an agreement and test–retest reliability study

Lan‐Fang Huang, Shanshan Niu, Ying-Qin Li, Xiaobin Liu et al.
BMC Medical Education
Radiology practices and education
article

DeepSeek-R1 for automated scoring in radiology residency examinations: an agreement and test–retest reliability study

Lan‐Fang Huang, Shanshan Niu, Ying-Qin Li, Xiaobin Liu, Guojie Wang
article en

Abstract

The performance of DeepSeek-R1 was comparable to that of radiologists in the evaluation of radiology residents' reports. The integration of DeepSeek-R1 into medical education could effectively assist in assessment tasks, potentially alleviating faculty workload while preserving the quality of evaluations.

BMC Medical EducationVol. 25(1)
Sun Yat-sen University (CN), Fifth Affiliated Hospital of Sun Yat-sen University (CN)
Sun Yat-sen University
Openalex Percentile: Top 51%
Radiology practices and education
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