From GPT-3.5 to GPT-5.2: a paired longitudinal evaluation of large language models in clinical neurology

The GPT-5.2 model demonstrated a significant performance increase compared with the previous model when presented with questions in clinical neurology. The performance increase was supported by high effect sizes, indicating potential clinical relevance. Model evolution was not homogeneous across subspecialties. Integrating it into clinical systems with strict control mechanisms may alleviate safety concerns.

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Publication Details

Journal
Neurological Research
Published
2026-03-02
DOI
https://doi.org/10.1080/01616412.2026.2638552
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

From GPT-3.5 to GPT-5.2: a paired longitudinal evaluation of large language models in clinical neurology

Erman AltunisIk, Emine Kilicparlar Cengiz, Gulsum Bayana Comruk, Firat Ekmekyapar Yasemin
Neurological Research
Artificial Intelligence in Healthcare and Education
article

From GPT-3.5 to GPT-5.2: a paired longitudinal evaluation of large language models in clinical neurology

Erman AltunisIk, Emine Kilicparlar Cengiz, Gulsum Bayana Comruk, Firat Ekmekyapar Yasemin
article en

Abstract

The GPT-5.2 model demonstrated a significant performance increase compared with the previous model when presented with questions in clinical neurology. The performance increase was supported by high effect sizes, indicating potential clinical relevance. Model evolution was not homogeneous across subspecialties. Integrating it into clinical systems with strict control mechanisms may alleviate safety concerns.

Neurological Research
University of Health Science (KH), Hatyai Hospital (TH), Sanko University (TR)
Quality Education
Openalex Percentile: Top 39%
Artificial Intelligence in Healthcare and Education
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