Evaluation of Smartphone Camera Positioning on Artificial Intelligence Pose Estimation Accuracy for Exercise Detection: Observational Study
JMIR Mhealth Uhealth. 2026 Mar 5;14:e82412. doi: 10.2196/82412. ABSTRACT BACKGROUND: Artificial intelligence (AI)-driven pose estimation (PE) offers a scalable and cost-effective solution to track exercises in mobile health apps. However, occlusion, influenced by camera angle and distance, can reduce detection accuracy and repetition counting precision. The influence of smartphone positioning on these performance metrics remains […]
Individual Variability in Physiological Responses and Psychological Conditions Associated With Methamphetamine Use: Pilot Ecological Momentary Assessment Study Using a Wearable Device and Self-Monitoring Mobile App
JMIR Form Res. 2026 Mar 2;10:e73790. doi: 10.2196/73790. ABSTRACT BACKGROUND: Digital mental health approaches offer a novel means to monitor and reduce harms associated with substance use in daily life. However, limited evidence exists on their application for methamphetamine (MAMP) use, particularly regarding individual variability in physiological responses and psychological conditions. OBJECTIVE: This pilot study […]
Individual Variability in Physiological Responses and Psychological Conditions Associated With Methamphetamine Use: Pilot Ecological Momentary Assessment Study Using a Wearable Device and Self-Monitoring Mobile App
JMIR Form Res. 2026 Mar 2;10:e73790. doi: 10.2196/73790. ABSTRACT BACKGROUND: Digital mental health approaches offer a novel means to monitor and reduce harms associated with substance use in daily life. However, limited evidence exists on their application for methamphetamine (MAMP) use, particularly regarding individual variability in physiological responses and psychological conditions. OBJECTIVE: This pilot study […]
Real-World Long-Term Engagement With a Mobile App Intervention to Improve Self-Management of Type 2 Diabetes Mellitus in China (SMARTDiabetes): Mixed Methods Study
JMIR Mhealth Uhealth. 2026 Mar 3;14:e76699. doi: 10.2196/76699. ABSTRACT BACKGROUND: Despite the high prevalence of type 2 diabetes mellitus in China, few patients are achieving adequate management targets. While digital behavior change interventions (DBCIs) are promising solutions, sustained long-term user engagement with these new technologies remains challenging. OBJECTIVE: The objectives of this study were to […]
App-Based Training Module on Guiding Physicians’ Prescription for Antibiotic Treatment of Gonorrhea: Cluster Randomized Controlled Trial
JMIR Mhealth Uhealth. 2026 Mar 4;14:e63736. doi: 10.2196/63736. ABSTRACT BACKGROUND: The Chinese National Guidelines on Diagnosis and Treatment of Gonorrhea (2020) recommend ceftriaxone 1 g intramuscularly as a single dose for the treatment of uncomplicated gonococcal infections. However, nonadherence to the guidelines remains common among physicians in China, partly due to their poor awareness of […]
A Community-Based Usability Study of an AI-Enabled Oral Cancer Screening App Operated by Village Health Volunteers: Mixed Methods Study
JMIR Mhealth Uhealth. 2026 Mar 9;14:e83738. doi: 10.2196/83738. ABSTRACT BACKGROUND: Oral cancer is a major public health concern in low- and middle-income countries, where access to specialist care and early detection remains limited. Mobile health technologies supported by artificial intelligence (AI) offer a scalable approach to extend screening services into underserved communities. In Thailand, village […]
Understanding User Perspectives to Inform Personalized Physical Activity Promotion in a Health Care App: Qualitative Focus Group Interview Study
JMIR Form Res. 2026 Mar 9;10:e85390. doi: 10.2196/85390. ABSTRACT BACKGROUND: Health care apps are widely used to support weight loss and lifestyle modification. Many of these apps offer tailored feedback on dietary intake and nutritional behavior. However, most lack personalized features that promote physical activity (PA), which is important for weight management, metabolic health, and […]
Can AI Chatbots Safely Assist the Public with Medical Advice? A Randomized Study
Artificial intelligence (AI), specifically large language models (LLMs), is rapidly advancing and holds significant potential to transform healthcare. These technologies may expand access to medical knowledge, which allows patients to conduct preliminary health assessments. The public increasingly uses AI chatbots to seek health-related information, which includes symptom understanding and possible diagnosis. Models like GPT-4o, Llama […]
Genetics and Gender: Swedish Study Uncovers Patterns in Suicide Attempts
Suicide is a major global public health concern, with nearly 700,000 deaths annually and an age-standardized rate of about 9 per 10,000 people. Suicide attempts are even more common, which affects an estimated 2.7 to 3.3% of people during their lifetime, and a previous attempt strongly predicts future suicide. Understanding the determinants of suicide attempts […]
Designing an mHealth App to Encourage Uptake of Muscle-Strengthening Exercise in Older Adults: Co-Design Focus Group Study
JMIR Aging. 2026 Mar 12;9:e87332. doi: 10.2196/87332. ABSTRACT BACKGROUND: Sarcopenia, the age-related decline in muscle mass and strength, poses a significant threat to functional independence in older adults. Despite strong evidence supporting resistance training as a preventive and therapeutic strategy, adherence to muscle-strengthening guidelines remains low. Mobile health (mHealth) technologies offer a promising avenue to […]
