Accuracy Is Not Enough: Reasoning and Reference Reliability in Orthopaedic Large Language Model (LLM) Applications

GPT-5 appears to exceed previously reported LLM performance on the OITE and achieved accuracy higher than published mean scores for senior trainees, but demonstrated poor reference reliability, with one in three answers citing fabricated or misrepresented evidence. Even correct answers frequently relied on flawed or unverifiable sources. Evaluation of LLMs in medical education should incorporate systematic reasoning and evidence validation, not accuracy alone.

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Publication Details

Journal
Cureus
Published
2026-01-05
DOI
https://doi.org/10.7759/cureus.100845
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Accuracy Is Not Enough: Reasoning and Reference Reliability in Orthopaedic Large Language Model (LLM) Applications

Pranav Chandrasekhar, Shashwat Singh
Cureus
Artificial Intelligence in Healthcare and Education
article

Accuracy Is Not Enough: Reasoning and Reference Reliability in Orthopaedic Large Language Model (LLM) Applications

Pranav Chandrasekhar, Shashwat Singh
article en

Abstract

GPT-5 appears to exceed previously reported LLM performance on the OITE and achieved accuracy higher than published mean scores for senior trainees, but demonstrated poor reference reliability, with one in three answers citing fabricated or misrepresented evidence. Even correct answers frequently relied on flawed or unverifiable sources. Evaluation of LLMs in medical education should incorporate systematic reasoning and evidence validation, not accuracy alone.

CureusVol. 18(1)
University of East Anglia (GB), Queen Elizabeth Hospital King's Lynn NHS Foundation Trust (GB)
Quality Education
Openalex Percentile: Top 97%
Artificial Intelligence in Healthcare and Education
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