Older adult immigrants face unique challenges in accessing web-based senior center programming, particularly when it comes to technology use and telehealth. A recent study, published in the Asian/Pacific Island Nursing Journal of JMIR Publications, sheds light on these critical issues, offering valuable insights for community-based organizations and healthcare providers.

The world of Artificial Intelligence (AI) is evolving at lightning speed, and with each leap forward, user expectations are irrevocably altered. A recent study, "The Impact of ChatGPT Exposure on User Interactions With the Motivational Interviewing Chatbot: Quasi-Experimental Study," sheds light on this fascinating phenomenon, specifically how the widespread release of ChatGPT reshaped how users perceive and interact with other, more specialized chatbots.

We've all heard about the potential of Artificial Intelligence (AI) to revolutionize various aspects of our lives, and healthcare is no exception. But how do Canadians feel about using AI to understand something as deeply personal as their social determinants of health (SDOH)? This was the central question explored in a fascinating new study, "Perspectives on Using Artificial Intelligence to Derive Social Determinants of Health Data From Medical Records in Canada: Large Multi-Jurisdictional Qualitative Study."

We all know the statistics. Obesity rates are a global concern, and finding effective, scalable solutions is more critical than ever. Enter eHealth interventions – digital programs offering support and guidance right at your fingertips. But in the realm of traditional weight loss programs, group support often reigns supreme. So, the burning question is: does this group dynamic translate to the digital space, and can a little face-to-face interaction boost the effectiveness of an eHealth program?

A significant new study, "Dissemination and Implementation Approach to Increasing Access to Local Pre-Exposure Prophylaxis PrEP Resources With Black Cisgender Women: Intervention Study With Vlogs Shared on Social Media," has been published in the prestigious JMIR Public Health and Surveillance.

Have you ever typed a health question into Google? You're not alone! For years, search engines have been the go-to digital first stop for understanding symptoms, treatments, and diagnoses. But hold on to your stethoscopes, folks, because the landscape of online health information is shifting dramatically – and faster than you might think!

Can your smartphone habits really impact your mental well-being? It's a question that has sparked countless studies, with some sounding the alarm about negative effects and others suggesting minimal impact. But what if the answer isn't so black and white? A groundbreaking new study delves into the deeply personal relationship between our digital lives and our mental health, challenging the notion of a one-size-fits-all answer.

2025 is already off to a rapid start for digital mental health technology. One of the emerging themes for this year is regulation, which opens questions about how different governments plan to assess, regulate, and pay for digital mental health technology.

Scholarly and scientific publishing is constantly evolving, and most recently driven by major movements towards open science and also influenced by the widespread availability of technology, like generative artificial intelligence. Negative influencers such as misaligned academic incentives, “pay-to-publish” publishing models, paper mills and plagiarism, and other unethical behaviors and their consequences are on the rise. The evergreen challenge? Keeping research transparent, trustworthy, and just plain honest. Research integrity is super important, to say the very least – and it is HOT! 

The integration of artificial intelligence (AI) into the peer review process is a rapidly evolving landscape, offering the promise of streamlined efficiency and increased objectivity. However, this exciting development also highlights several ethical considerations that reviewers should thoughtfully address and navigate. Most importantly, if a reviewer is considering using generative AI to help them with performing a peer review, first check journal policy on whether this is permissible and, if so, then how.