Literature Reviews After AI

This editorial revisits the enduring role of literature reviews in scientific training and communication, emphasizing that their value lies in expert synthesis rather than simple aggregation of sources. In an era of AI-assisted discovery and summarization, the authors argue that peer-reviewed reviews must provide deeper perspective on how fields evolve and how evidence interconnects. They outline updated expectations for review and perspective articles, stressing that human judgment remains essential for interpreting and validating the scientific record.