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AI helps expand medical response capacity for treating Bay Area's homeless

AI helps expand medical response capacity for treating Bay Area’s homeless

January 29, 2026January 30, 2026
AI ROI and rural health spending among key 2026 considerations

AI ROI and rural health spending among key 2026 considerations

January 29, 2026January 29, 2026
A Behavioral Health Clinician’s Perspective on AI Clinical Notes

A Behavioral Health Clinician’s Perspective on AI Clinical Notes

January 29, 2026January 29, 2026
Medable Deploys ”Agentic AI” to Rescue Overwhelmed Investigators

Medable Deploys ”Agentic AI” to Rescue Overwhelmed Investigators

January 29, 2026January 29, 2026
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Author: JMIR mHealth and uHealth

Evaluating the Quality and Features of Visual Acuity Apps Using the Mobile App Rating Scale: Systematic Review

Evaluating the Quality and Features of Visual Acuity Apps Using the Mobile App Rating Scale: Systematic Review

December 12, 2025December 13, 2025JMIR mHealth and uHealth

Background: Mobile visual acuity (VA) applications have emerged as valuable tools in both clinical and home settings, particularly in the context of expanding teleophthalmology. Despite the growing number of apps available to measure visual…

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Effectiveness of Internet-Based Cognitive Behavioral Therapy for Depressive Symptoms During Pregnancy by Using Real-World Data: Retrospective Cohort Study

Effectiveness of Internet-Based Cognitive Behavioral Therapy for Depressive Symptoms During Pregnancy by Using Real-World Data: Retrospective Cohort Study

December 12, 2025December 12, 2025JMIR mHealth and uHealth

Background: Approximately 1 out of 5 pregnant women develops depression. Internet-based cognitive behavioral therapy (iCBT) is an effective way to treat not only depression but also mild depressive symptoms or subthreshold depression. While numerous…

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A Multiple Technology–Based Physical Activity Intervention for Latina Adolescents: Results From the Chicas Fuertes Randomized Controlled Trial

A Multiple Technology–Based Physical Activity Intervention for Latina Adolescents: Results From the Chicas Fuertes Randomized Controlled Trial

December 11, 2025December 12, 2025JMIR mHealth and uHealth

Background: Background: Latina adolescents report low levels of moderate-vigorous physical activity (MVPA) and high lifetime risk of lifestyle-related diseases. There is a lack of MVPA interventions targeted at this demographic despite documented health disparities….

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Obtaining Patient-Reported Outcome Data via a Home Patient Monitoring App: Development, Implementation, and Validation of Novel Interface Terminology

Obtaining Patient-Reported Outcome Data via a Home Patient Monitoring App: Development, Implementation, and Validation of Novel Interface Terminology

December 11, 2025December 12, 2025JMIR mHealth and uHealth

Background: Adverse events (AEs) related to cancer treatment represent a valuable source of information that can be used to adjust therapy for individual patients. The NIH developed the Common Terminology Criteria for Adverse Events…

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Multimodal Sleep Measurement and Alignment Analysis in Outpatients With Major Depressive Episode: Observational Study

Multimodal Sleep Measurement and Alignment Analysis in Outpatients With Major Depressive Episode: Observational Study

December 11, 2025December 12, 2025JMIR mHealth and uHealth

Background: Sleep is essential for overall health and plays a critical role in the diagnosis of psychiatric disorders. Although polysomnography remains the gold standard for measuring sleep, its reliance on laboratory settings limits its…

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The Challenge of Measuring Exercise: Advancing Metrological Barriers in Wearable Sensing

The Challenge of Measuring Exercise: Advancing Metrological Barriers in Wearable Sensing

December 11, 2025December 11, 2025JMIR mHealth and uHealth

Regular physical activity offers extensive health benefits, yet current consumer wearables struggle to accurately quantify these effects at an individualized level. Sensor performance often falls short due to susceptibility to interferences, nonstandardized validation, and…

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Unraveling the Factors Associated With Digital Health Intervention Uptake: Cross-Sectional Study

Unraveling the Factors Associated With Digital Health Intervention Uptake: Cross-Sectional Study

December 9, 2025December 10, 2025JMIR mHealth and uHealth

Background: Chronic noncommunicable diseases (NCDs) remain a leading health challenge worldwide, and reducing modifiable lifestyle risk factors is a key prevention strategy. Digital health interventions (DHIs) offer scalable, cost-effective tools to support healthy behaviors,…

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Exploring Age-Related Patterns in Smartphone Keystroke Dynamics Considering Temporal Variability: Cross-Sectional Study With AI-Based Analysis

Exploring Age-Related Patterns in Smartphone Keystroke Dynamics Considering Temporal Variability: Cross-Sectional Study With AI-Based Analysis

December 3, 2025December 3, 2025JMIR mHealth and uHealth

Background: Keystroke dynamics on smartphones have emerged as a promising form of passive digital biomarker. While previous studies have explored their utility in several diseases and disorders, relatively few have examined how these dynamics…

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Health Motivation as a Predictor of mHealth Engagement Across BMI: Cross-Sectional Survey

Health Motivation as a Predictor of mHealth Engagement Across BMI: Cross-Sectional Survey

December 2, 2025December 2, 2025JMIR mHealth and uHealth

Background: Digital health tools, such as mobile apps and wearable devices, have been widely adopted to support self-management of health behaviors. However, user engagement remains inconsistent, particularly among populations with varying BMI. While digital…

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Evaluation of a Pilot mHealth Intervention to Engage Primary Care Clients at an Urban Clinic Serving Marginalized Populations: Mixed-Methods Cohort Study

Evaluation of a Pilot mHealth Intervention to Engage Primary Care Clients at an Urban Clinic Serving Marginalized Populations: Mixed-Methods Cohort Study

November 27, 2025November 28, 2025JMIR mHealth and uHealth

Background: Many individuals in urban low-income settings face barriers to engaging in primary care. The advancement of mobile health (mHealth) expands options for facilitating communication between primary care providers and clients. Objective: We conducted…

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The two areas that are changing… are information technology and medical technology. Those are the things that the world will be very different 20 years from now than it is today.

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Recent Posts

  • AI helps expand medical response capacity for treating Bay Area's homeless

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    January 29, 2026January 30, 2026Comments Off on AI helps expand medical response capacity for treating Bay Area’s homeless
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    January 29, 2026January 29, 2026Comments Off on AI ROI and rural health spending among key 2026 considerations
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