Years in this theme: All years 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013
Articles published in this theme: 1263 (scroll down to load remaining articles)
2026
The Role of Digital Biomarkers in Physiological Signal-Based Depression Assessment: Systematic Review and Meta-Analysis
J Med Internet Res 2026 (Apr 02); 28:e76432
Download Citation: END BibTex RIS
Development and Validation of Machine Learning Models for Predicting Early Cognitive Decline Using Home Sensor–Derived Behavioral Data: Sensors in-Home for Elder Wellbeing (SINEW) Cohort Study
JMIR Res Protoc 2026 (Apr 01); 15:e79490
Download Citation: END BibTex RIS
The Coordination on Mobile Pandemic Apps Best Practice and Solution Sharing (COMPASS) Framework: Holistic Approach to Pandemic mHealth Apps
JMIR Form Res 2026 (Mar 30); 10:e63920
Download Citation: END BibTex RIS
Examining the Use of Consumer Wearable Devices and Digital Tools for Stress Measurement in College Students: Scoping Review of Methods
JMIR Mhealth Uhealth 2026 (Mar 30); 14:e64144
Download Citation: END BibTex RIS
Video-Based Gait Assessment Using Machine Learning to Classify Age and Sex in Low-Resource Settings: Cross-Sectional Study
JMIR Form Res 2026 (Mar 30); 10:e76755
Download Citation: END BibTex RIS
Investigating Children’s Exposure to Outdoor Food Marketing in 2 Swedish Cities Using a Smartphone App: Cross-Sectional Study
JMIR Mhealth Uhealth 2026 (Mar 24); 14:e70192
Download Citation: END BibTex RIS
Challenges of Standard Pediatric Epilepsy Monitoring and the Potential Benefits of Contactless Sensor Technologies: Exploratory Qualitative Study
J Med Internet Res 2026 (Mar 24); 28:e83009
Download Citation: END BibTex RIS
Real-Time and Long-Term Effects of Medical Marijuana on Older Adults: Protocol for a Prospective Cohort Study
JMIR Res Protoc 2026 (Mar 24); 15:e78900
Download Citation: END BibTex RIS
The Current Landscape of Remote Digital Symptom Monitoring for Patients With Lung Cancer: Scoping Review
J Med Internet Res 2026 (Mar 24); 28:e83666
Download Citation: END BibTex RIS
Smartphone-Based Digital Phenotyping Across Health Conditions: Scoping Review
J Med Internet Res 2026 (Mar 24); 28:e84146
Download Citation: END BibTex RIS
Remote Patient Monitoring Program Components and Short-Term Hypertension Control: Retrospective Cohort Study
JMIR Mhealth Uhealth 2026 (Mar 24); 14:e69546
Download Citation: END BibTex RIS
Prediction of Prefecture-Level Subjective Well-Being in Japan by Using Google Trends and Socioeconomic Data: Machine Learning Model Development and Validation Study
JMIR Form Res 2026 (Mar 20); 10:e88696
Download Citation: END BibTex RIS
A Digital Intervention for Capturing Real-Time Health Data for Epilepsy Seizure Forecasting: Protocol for the ATMOSPHERE Study
JMIR Res Protoc 2026 (Mar 20); 15:e85993
Download Citation: END BibTex RIS
Telehealth Use and Modality Choice Among US Adults: Shorrocks-Shapley Decomposition of a 2022 Cross-Sectional National Survey
J Med Internet Res 2026 (Mar 18); 28:e81879
Download Citation: END BibTex RIS
Validity of Galaxy Watch for Estimating Energy Expenditure During Intermittent Running: Cross-Sectional Study
JMIR Form Res 2026 (Mar 18); 10:e83090
Download Citation: END BibTex RIS
Remote Monitoring of Cryosurgery Response Using a Smartphone App: Prospective Study
JMIR Dermatol 2026 (Mar 18); 9:e63467
Download Citation: END BibTex RIS
Assessing Night-to-Night Sleep Variability as a Hallmark of Chronic Insomnia Using Longitudinal, Contactless, Mobile Sleep Monitoring: Prospective Cohort Study
JMIR Form Res 2026 (Mar 18); 10:e73969
Download Citation: END BibTex RIS
Assessing Mental Health and Emotional States by Using Smartphone Photoplethysmography–Based Digital Pulse Waveform Analysis: Cross-Sectional Observational Study
JMIR Mhealth Uhealth 2026 (Mar 16); 14:e81301
Download Citation: END BibTex RIS
Enhancing Predictive Accuracy of Mood Symptoms Using Wearable Devices and Machine Learning in Bipolar Disorder
JMIR Med Inform 2026 (Mar 12); 14:e92172
Download Citation: END BibTex RIS
Smartphone-Based Interpretable Machine Learning for Classifying Single-Leg Squat Performance Using Trunk, Pelvic, and Knee Kinematics: Cross-Sectional Study
JMIR Mhealth Uhealth 2026 (Mar 12); 14:e85126
Download Citation: END BibTex RIS