Advancements in large language model accuracy for answering physical medicine and rehabilitation board review questions

LLM technology is rapidly advancing, with the more recent GPT-4o model performing much better on PM&R knowledge questions compared to GPT-3.5. There is potential for LLMs in augmenting clinical practice, medical training, and patient education. However, the technology has limitations and physicians should remain cautious in using it in practice at this time.

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Publication Details

Journal
PM&R
Published
2025-05-02
DOI
https://doi.org/10.1002/pmrj.13386
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.96
Controls
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article

Advancements in large language model accuracy for answering physical medicine and rehabilitation board review questions

Alexander D’Angelo, Jason Bitterman, James E. Eubanks, Alexandra Holachek
3 citations
PM&R
Artificial Intelligence in Healthcare and Education
1.96
article

Advancements in large language model accuracy for answering physical medicine and rehabilitation board review questions

Alexander D’Angelo, Jason Bitterman, James E. Eubanks, Alexandra Holachek
article en
3 citations

Abstract

LLM technology is rapidly advancing, with the more recent GPT-4o model performing much better on PM&R knowledge questions compared to GPT-3.5. There is potential for LLMs in augmenting clinical practice, medical training, and patient education. However, the technology has limitations and physicians should remain cautious in using it in practice at this time.

PM&RVol. 17(9)
Hartford Hospital (US), Medical University of South Carolina (US), University of Pittsburgh Medical Center (US), Hartford Financial Services (United States), University of Nebraska Medical Center (US)
Openalex Percentile: Top 12%
Artificial Intelligence in Healthcare and Education
1.96
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