AIMC Topic: Peer Review

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Neurosurgical journals' policies on artificial intelligence use in manuscript preparation and peer review.

Neurosurgical review
As artificial intelligence (AI), particularly large language models (LLMs), continues to progress, its impact on academic publishing, both in manuscript drafting and peer review, has attracted considerable attention. In neurosurgery, where journals s...

Who reviewed this? Toward responsible integration of large language models for peer review of scientific articles in dental medicine.

Swiss dental journal
The introduction and advancement of large language models (LLMs), such as ChatGPT, DeepSeek, and Google Gemini, present both opportunities and challenges for peer review in dental research. In this article, we propose a framework to inform the discou...

Comparative performance of neurosurgery-specific, peer-reviewed versus general AI chatbots in bilingual board examinations: evaluating accuracy, consistency, and error minimization strategies.

Acta neurochirurgica
BACKGROUND: Recent studies suggest that large language models (LLMs) such as ChatGPT are useful tools for medical students or residents when preparing for examinations. These studies, especially those conducted with multiple-choice questions, emphasi...

Leveraging artificial intelligence in the peer review of neurosurgical research articles.

Neurosurgical review
The traditional peer review process is time-consuming and can delay the dissemination of critical research. This study evaluates the effectiveness of artificial intelligence (AI) in predicting the acceptance or rejection of neurosurgical manuscripts,...

Artificial Intelligence in Peer Review: Enhancing Efficiency While Preserving Integrity.

Journal of Korean medical science
The rapid advancement of artificial intelligence (AI) has transformed various aspects of scientific research, including academic publishing and peer review. In recent years, AI tools such as large language models have demonstrated their capability to...

A deep learning-based peer review method for radiotherapy planning.

Medical physics
BACKGROUND: Quality control (QC) in radiotherapy planning is crucial for ensuring treatment efficacy and patient safety. Traditionally, QC relies on standard indicators and subjective assessments, which may lead to inconsistencies.