Artificial intelligence in academic writing: Enhancing or replacing human expertise?

IF 1.9 4区 医学 Q3 CLINICAL NEUROLOGY
Ria Resti Fauziah, Ari Metalin Ika Puspita, Ivo Yuliana, Fiena Saadatul Ummah, Siti Mufarochah, Erfan Ramadhani
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引用次数: 0

Abstract

This letter discusses findings from a recent study comparing AI-generated and humanwritten neurosurgery articles. The study reveals that AI-generated articles exhibit higher readability scores (Lix: 35 vs. 26, Flesch-Kincaid: 10 vs. 8) but may lack depth in analysis. Evaluators could correctly identify AI authorship with 61 % accuracy, and preferences were nearly even between AI-generated (47 %) and human-written (44 %) articles. While AI improves accessibility and efficiency in academic writing, its limitations in clinical experience, originality, and nuanced analysis highlight the need for human oversight. The integration of AI should be as a complementary tool rather than a replacement for human expertise. Future research should focus on refining AI's analytical capabilities and ensuring ethical use in scientific publishing.

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来源期刊
Journal of Clinical Neuroscience
Journal of Clinical Neuroscience 医学-临床神经学
CiteScore
4.50
自引率
0.00%
发文量
402
审稿时长
40 days
期刊介绍: This International journal, Journal of Clinical Neuroscience, publishes articles on clinical neurosurgery and neurology and the related neurosciences such as neuro-pathology, neuro-radiology, neuro-ophthalmology and neuro-physiology. The journal has a broad International perspective, and emphasises the advances occurring in Asia, the Pacific Rim region, Europe and North America. The Journal acts as a focus for publication of major clinical and laboratory research, as well as publishing solicited manuscripts on specific subjects from experts, case reports and other information of interest to clinicians working in the clinical neurosciences.
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