13 March
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Study Investigates How AI Can Advance Health Equity Through Community-Based Research (Toronto, March 13, 2025) A new study published in JMIR Public Health and Surveillance by a team from Stanford Medicine investigates the potential of artificial intelligence (AI) to revolutionize citizen science and advance health equity. The study, titled “The Promise and Perils of Artificial Intelligence in Advancing Participatory Science and Health Equity in Public Health,” explores how AI technologies can empower communities to actively participate in scientific research and addresses critical ethical considerations. This research, published by JMIR Publications, examines the potential of AI to significantly enhance citizen science by enabling more inclusive andRead 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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10 March
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Source: Unsplash Copyright: Kelli McClintock URL: https://unsplash.com/photos/person-in-white-long-sleeve-shirt-holding-black-smartphone-cr-Gh5A_9Nc 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 byRead 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 →