13 May
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Source: OpenAI and edited by the authorsCopyright: N/A (AI-Generated Image)URL: https://www.jmir.org/2025/1/e69173/License: Public Domain (CC0) AI and epileptologists should work together for the best results, find researchers at the Stevens Institute of Technology Hoboken, N.J., May 12, 2025 — Epilepsy, one of the most common neurological disorders characterized by recurrent seizures, affects over 70 million people worldwide. In the United States, about 3.4 million people live with this challenging condition. Around one-third of all epilepsy cases cannot be controlled by medications. For those patients, surgical resection of the epileptogenic zone (EZ)—an area whose removal can lead to seizure freedom (ie, a period of time when a personRead More →

29 April
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A team of Canadian researchers has developed a curriculum framework to help train future family physicians in the use of artificial intelligence (AI), addressing a critical gap in medical training as digital tools become more common in patient care. Published in JMIR Medical Education, the study, “Curriculum Framework for AI Training in Postgraduate Family Medicine Education (AIFM-ed): Mixed Methods Study,” introduces the AIFM-ed framework to guide the integration of AI into family medicine training programs.
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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 →

person in white long sleeve shirt holding black smartphone
10 March
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In Press Releases

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 →

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 →

19 February
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Source: Image provided by the authors Copyright: Helén Sjöland License: Creative Commons Attribution (CC-BY) A software robot has proved to be faster than doctors at detecting side effects during a drug treatment for cardiac arrhythmia, while also cutting unnecessarily frequent follow-up lab tests and controls, according to a study at the University of Gothenburg. The drug amiodarone, with the trade name Cordarone, helps the heart beat normally again when the rhythm is abnormal, such as in atrial fibrillation and tachycardia. The treatment requires regular blood tests due to potential side effects affecting thyroid and liver function, which with current practices is a completely manual process. A newRead More →

11 February
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  Source: Freepik Copyright: Freepik License: Creative Commons Attribution (CC-BY) New Study Using AI-Powered Analysis Identifies Combinations of Social Barriers Impacting Health Outcomes GALVESTON, Texas – Most doctors’ visits focus on reviewing medical information such as cholesterol levels and symptoms like a persistent cough to diagnose and treat health conditions. However, discussions rarely touch on nonmedical factors, such as whether a patient has reliable transportation to attend follow-up appointments. Missing critical appointments like radiation therapy to treat a lung tumor due to lack of transport could worsen health outcomes and complicate recovery.  A new study led by researchers at the University of Texas Medical Branch (UTMB) and otherRead More →