22 December
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Study finds that familiar and beloved games evoke childlike wonder that boosts happiness and helps protect young adults from burnout. (Toronto, December 22, 2025) A new study published by JMIR Serious Games reports that popular video games, such as the Super Mario Bros. and Yoshi games, may offer meaningful emotional benefits for young adults. The research, titled “Super Mario Bros. and Yoshi Games’ Affordance of Childlike Wonder and Reduced Burnout Risk in Young Adults: In-Depth Mixed Methods Cross-Sectional Study,” found that these lighthearted, familiar games can spark a sense of childlike wonder that boosts overall happiness, which in turn reduces burnout risk. The research teamRead More →

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18 November
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(Toronto, November 18, 2025) A new study published in the Journal of Medical Internet Research reveals how “super users”—clinicians who lead the charge in adopting virtual health care tools—are transforming the way care is delivered. The findings identify best practices that make virtual care more efficient, coordinated, and patient-centered. Led by Jolie N Haun, PhD, and a multidisciplinary team at James A. Haley Veterans’ Hospital, the study describes how these “super users” successfully integrate multiple virtual systems to enhance workflows, improve communication, and ensure timely care for patients. The research captures insights from experts across different specialties, including cardiology and rehabilitation. “Super users innovate inRead More →

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17 November
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(Toronto, November 17, 2025) A new study published in the peer-reviewed journal JMIR Mental Health by JMIR Publications highlights a critical risk in the growing use of Large Language Models (LLMs) like GPT-4o by researchers: the frequent fabrication and inaccuracy of bibliographic citations. The findings underscore an urgent need for rigorous human verification and institutional safeguards to protect research integrity, particularly in specialized and less publicly known fields within mental health. Nearly 1 in 5 Citations Fabricated by GPT-4o in Literature Reviews The article, titled “Influence of Topic Familiarity and Prompt Specificity on Citation Fabrication in Mental Health Research Using Large Language Models: Experimental Study,”Read More →

11 March
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Source: FreepikCopyright: benzoixURL: https://www.freepik.com/free-photo/portrait-young-modern-woman-reading-mobile-phone-scrolling-social-media-app-smartphone_84701536.htm#License: Licensed by JMIR After 8 weeks of use, the self-guided cognitive behavioral therapy (CBT) mobile app, Clear Fear, was found to produce statistically significant reductions in the cohort’s levels of anxiety, depression, and emotional behavioral difficulties, a new study published in JMIR Formative Research finds. Researchers found that 92% of the 37 young people aged between 16 and 25 years with anxiety disorder who used Clear Fear, the National Health Service (NHS)–approved, evidence-based mental health mobile app designed to help children and young people manage anxiety, said that the app helped to reduce their feelings of anxiety, and 87% said itRead More →

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10 March
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Source: Unsplash; Copyright: Kelli McClintock; License: Licensed by JMIR Unlike prior trials in more experimental settings, this study is the first peer-reviewed real-world evaluation of an autonomous generative artificial intelligence (GenAI) chatbot, Limbic Care, supporting scaled mental health care within an established care model in the National Health Service (NHS), demonstrating its effectiveness compared to non-GenAI treatment. SAN FRANCISCO, CA and LONDON, UK, March 10, 2025 – The first real-world study on the use of generative artificial intelligence (GenAI) in mental health treatment within a live, multisite clinical setting has been published by JMIR Publications. The research found that patients receiving care augmented by GenAI attendedRead More →

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03 March
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Source: ChatGPTCopyright: N/A (AI generated image)License: Public Domain (CC0) A new machine learning study reveals that Wi-Fi motion sensors can detect depression in community-dwelling older adults, offering a nonintrusive alternative to wearable devices. (March 3, 2025) A new study published in JMIR Aging developed and tested an innovative artificial intelligence (AI) model called HOPE that uses Wi-Fi–based motion sensor data to detect depression in older adults. This study offers a nonintrusive alternative to wearable devices, improving accessibility and compliance among aging populations. The research, titled “Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study,” was published byRead More →

26 February
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Source: FreepikCopyright: DC StudioURL: https://www.freepik.com/free-photo/senior-woman-working-out-using-balance-bal…License: Licensed by JMIR Digital Program Reduces Fall Risk and Boosts Strength in Older Adults Study highlights the success of an online exercise program tailored for seniors Researchers at University of California San Diego have revealed promising results from a study evaluating the university’s Strong Foundations program, a digitally delivered fall prevention initiative for older adults. The findings, recently published in JMIR Aging, emphasize the program’s effectiveness in improving posture, balance, and strength—key factors in reducing fall risk. “This study showcases the potential of accessible, online exercise programs to significantly enhance physical function for older adults,” said Ryan Moran, MD, MPH,Read More →