A pregnant woman using the CURA (TM) application on her mobile device.
27 August
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Source: Image created by the authors / Freepik; Copyright: The Authors / tirachardz; License: Licensed by the authors New research suggests that machine learning models using first-trimester pregnancy data outperformed existing early risk assessment approaches in Sweden, Chile, and Singapore. (Toronto, August 27, 2026) Artificial intelligence (AI) may help identify women and babies at risk of serious health problems earlier in pregnancy, according to a new study analyzing data from more than half a million pregnancies across Sweden, Chile, and Singapore. The machine learning models, which used information available during the first 14 weeks of pregnancy, generally outperformed the early risk assessment methods currently usedRead More →

Mobile phone showing a calorie counter app
25 August
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Source: Magnific; Copyright: tonodiaz; License: Licensed by JMIR A 6-month, peer-reviewed study of 5132 MyNetDiary users published in the Journal of Medical Internet Research finds that every additional day of weekly food tracking is associated with better outcomes. (Boca Raton, FL, August 25, 2026) The people who log their meals most days of the week lose the most weight. This is the central finding of a peer-reviewed study of 5132 MyNetDiary users, published on August 13, 2026, in the Journal of Medical Internet Research. Over 6 months, users who tracked food 6-7 days per week lost 11.33% of their body weight on average, about two-thirdsRead More →

A nurse using a digital tablet to support chronic disease management and personalized patient care for an older adult. The image depicts digital health monitoring, clinical decision support, and AI-assisted chronic illness management in a modern healthcare setting
16 July
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Source: Created with DALL-E, an AI system by OpenAI; Copyright: N/A (AI-generated image); License: Public Domain (CC0) A comprehensive review finds AI-powered nursing tools improve prediction of health risks and reduce unnecessary hospital use, while more research is needed on patients’ emotional well-being. (Toronto, July 16, 2026) Artificial intelligence (AI) is helping nurses better predict health problems before they become emergencies, according to a new review of existing research published in JMIR Nursing. The study found that AI-based nursing interventions can improve the care of people living with chronic illnesses by identifying patients at greater risk of complications, reducing unplanned hospital visits, and potentially loweringRead More →

Young doctor reviews map data on a tablet
13 July
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Research finds digital resilience training associated with reduced stress among health care workers Source: Debora Goetz GoldbergCopyright: The AuthorsURL: https://mhealth.jmir.org/2026/1/e85388License: Licensed by the authors SAN RAFAEL, Calif. – July 13, 2026 – StressPal, a provider of evidence-based digital resilience interventions for health care professionals, announced today the publication of a study evaluating its StressPal Frontline: Essential Resilience Self-Care and Burnout Prevention program in JMIR Formative Research, an open access, peer-reviewed journal focused on emerging digital health innovations. The study, “Resilience and Stress Among Health Care Workers Participating in the StressPal Frontline Program: Quasi-Experimental Pretest-Posttest Study,” examined the impact of the digital resilience intervention on healthRead More →

Mother and daughter facetiming their grandmother
08 July
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Source: iStock; Copyright: fizkes and Goodboy Picture Company; License: Licensed by the authors Study finds that fully virtual applied behavior analysis therapy conducted by BCBA clinicians at AnswersNow for autism support is feasible, well received by caregivers, and linked to positive outcomes for children and families (Toronto and Richmond, July 8, 2026) A new study, conducted by AnswersNow in partnership with the Clemson Center for Behavior Analysis (Clemson University) and published in JMIR Pediatrics and Parenting, finds that fully virtual applied behavior analysis (ABA) services delivered by a Board Certified Behavior Analyst (BCBA) are a feasible, well-received alternative to traditional in-person therapy for families affectedRead More →

A woman wearing a virtual reality headset touches a virtual colour explosion
07 July
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A new study published in JMIR XR and Spatial Computing demonstrates that the way virtual reality therapeutics (VRx) are introduced to patients is a critical factor in how successfully they adopt the technology. The randomized feasibility pilot study builds on growing evidence that virtual reality digital therapeutics show strong clinical potential for managing symptoms such as anxiety, pain, and distress. Rather than evaluating clinical efficacy, the study focuses on a critical implementation question: how structured onboarding and provider involvement can help drive consistent patient engagement, adherence, and adoption of VRx in real-world care. While previous digital therapeutic research has focused primarily on clinical efficacy, thisRead More →

Image of a child wearing a virtual reality headset and practicing mindfulness with a silver drum and set of mallets
30 June
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Study synthesizing 35 recent clinical trials published in JMIR XR and Spatial Computing. Santa Barbara, CA — A new systematic review and meta-analysis published in JMIR XR and Spatial Computing finds that virtual reality (VR)–based mindfulness interventions produce reliable short-term benefits for emotional regulation and state mindfulness—with implications for mental health support across clinical, educational, and workplace settings. The study, conducted by Sarah A Barker of Fielding Graduate University, synthesized findings from 35 empirical studies published between 2023 and 2025, making it one of the most comprehensive quantitative reviews of VR-based mindfulness research to date. What the Research Found Across the 35 included studies—representing approximately 1550 participantsRead More →

Health workers reviewing the content of mPallCare before undertaking community visits.
23 June
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UCSF-led study creates digital health intervention to promote lifelong specialized care in adults with congenital heart disease Source: Matthew AllsopCopyright: The AuthorsURL: https://mhealth.jmir.org/2026/1/e73483License: Licensed by the authors Congenital heart disease is a condition primarily associated with infants and children, but there are currently more adults than children living with congenital heart disease in the United States—estimated 2 million adults—and their numbers are increasing at a rate of 5% to 10% each year. Unfortunately, the vast majority of these adults no longer receive congenital heart disease specialty care, and gaps in this care over a lifetime can lead to preventable complications, hospitalizations, and even premature death.Read More →

A visual abstract summarizing the key findings of the research titled "The Effects of Open-World and Fun, Accessible Games on Perceived Loneliness and Stoicism in Adults: Cross-Sectional Survey Study," published in JMIR Serious Games in 2026. The study found that mainstream video games can mitigate the feeling of loneliness in young adults by promoting a stoic mindset.
18 June
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Source: JMIR Publications New research suggests that video games may help adults feel less lonely by encouraging resilience and emotional coping skills. (Toronto, June 18, 2026) A new study published in JMIR Serious Games suggests that some video games may do more than entertain—they may also help adults cope with loneliness and build emotional resilience. The study, titled “The Effects of Open-World and Fun, Accessible Games on Perceived Loneliness and Stoicism in Adults: Cross-Sectional Survey Study,” found that adults who played open-world adventure games such as The Legend of Zelda: Breath of the Wild and accessible “feel-good” games such as Yoshi’s Crafted World reported lowerRead More →

A plastic brain sits next to a computer keyboard and a smartwatch
27 May
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Source: Freepik. Copyright: Freepik License: CCBY A new viewpoint article published in JMIR Mental Health argues that AI systems should evaluate the reliability of human training and feedback data to improve safety in mental health applications. (Toronto, May 27, 2026) A new viewpoint article published in JMIR MentalHealth warns that artificial intelligence (AI) systems used in mental health settings may inherit and reinforce unreliable human input unless new safeguards are adopted. The paper, titled “When AI Colludes: ClinicalReliability of Training and Preference Data as a Trustworthy-AI Criterion,” calls for the “clinical reliability” of training data to become a core standard for trustworthy AI. The articleRead More →