Introduction
Peer review is the cornerstone of evidence-based medicine, ensuring the credibility and quality of published scientific research. Yet, this process faces mounting challenges: an increasing volume of manuscripts, reviewer fatigue, and concerns regarding efficiency, bias, and reliability. With the peer review system stretched thin, innovative approaches are crucial to sustain its integrity and responsiveness.
Artificial intelligence (AI), particularly large language models (LLMs), has emerged as a promising tool to assist and potentially transform peer review. This article critically examines the opportunities, challenges, and strategies for integrating AI into peer review, focusing on balancing technological advances with human accountability.
