For a field as hands-on and human-centered as nursing, artificial intelligence (AI), particularly large language models (LLMs), present both a huge opportunity and a complex challenge. While LLMs are rapidly entering nursing classrooms, their fundamental concepts remain largely unexplored.

This Peer Review Week, we're doing something a little different. As the global theme, “Rethinking Peer Review in the AI Era,” takes center stage, we’ve decided to bring back a piece of content that is more relevant now than ever.

Last year, we published an insightful guide on the ethical integration of AI into the peer review process. This guide was born from the recognition that AI was not a future possibility, but a present reality. Today, as the conversation has shifted from "if" to "how" AI should be used, our guidance remains a crucial resource.

Below is our 2024 blog post, "Navigating the Intersection of AI and Peer Review: A Guide for Ethical Integration," reproduced in full. We invite you to read it again—or for the first time—and join us in the ongoing dialogue about how to harness the power of AI while upholding the integrity and human spirit of scholarly evaluation.

Technology is an increasingly critical part of mental health care - but does it empower or exclude older adults? This is a growing concern, as this population often faces unique physical and psychosocial challenges, as well as barriers in accessing advanced technology.

Digital technology has become a lifeline for mental health support, offering accessible and affordable solutions for people who might otherwise have no access to care. However, simply creating a great digital platform isn't enough - you need people to use and engage with it. Without high adherence, even the most effective tool can't help those who need it most. This is particularly true for vulnerable and underserved populations, such as the millions of Ukrainian refugees displaced in the ongoing humanitarian crisis.