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Are Treatment Services Ready for the Use of Big Data Analytics and AI in Managing Opioid Use Disorder?

Matthew Amer, Rosalind Gittins, Antonio Martinez Millana, Florian Scheibein, Marica Ferri, Babak Tofighi, Frank Sullivan, Margaret Handley, Monty Ghosh, Alexander Baldacchino, Joseph Tay Wee Teck

J Med Internet Res 2025;27:e58723

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Mobile Health App for Adolescent Asthma Self-Management: Development and Usability Study of the Pulmonary Education and Knowledge Mobile Asthma Action Plan

Xing He, Jiang Bian, Ariel Berlinski, Yi Guo, A Larry Simmons, S Alexandra Marshall, Carolyn J Greene, Rita Hudson Brown, Jessica Turner, Tamara T Perry

JMIR Form Res 2025;9:e64212

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Can Artificial Intelligence Diagnose Knee Osteoarthritis?

Mihir Tandon, Nitin Chetla, Adarsh Mallepally, Botan Zebari, Sai Samayamanthula, Jonathan Silva, Swapna Vaja, John Chen, Matthew Cullen, Kunal Sukhija

JMIR Biomed Eng 2025;10:e67481

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Patient-Related Metadata Reported in Sequencing Studies of SARS-CoV-2: Protocol for a Scoping Review and Bibliometric Analysis

Karen O'Connor, Davy Weissenbacher, Amir Elyaderani, Ebbing Lautenbach, Matthew Scotch, Graciela Gonzalez-Hernandez

JMIR Res Protoc 2025;14:e58567

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Daily Automated Prediction of Delirium Risk in Hospitalized Patients: Model Development and Validation

Kendrick Matthew Shaw, Yu-Ping Shao, Manohar Ghanta, Valdery Moura Junior, Eyal Y Kimchi, Timothy T Houle, Oluwaseun Akeju, Michael Brandon Westover

JMIR Med Inform 2025;13:e60442

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Interventions to Reduce Serum Per- and Poly-Fluoroalkyl Substances Levels, Improve Cardiovascular Risk Profiles, and Improve Epigenetic Age Acceleration in US Firefighters: Protocol for Randomized Controlled Trial

Reagan Conner, Cynthia Porter, Karen Lutrick, Shawn C Beitel, James Hollister, Olivia Healy, Krystal J Kern, Floris Wardenaar, John J Gulotta, Kepra Jack, Matthew Huentelman, Jefferey L Burgess, Melissa Furlong

JMIR Res Protoc 2025;14:e67120

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Using Music to Promote Hong Kong Young People’s Emotion Regulation and Reduce Their Mood Symptoms and Loneliness: Protocol for a Pilot Randomized Controlled Trial

Before the main analyses, independent samples t tests (2-tailed, paired) will be conducted on the baseline demographic variables to identify any significant differences between the 2 groups. Any variables that show statistically significant differences will be included as covariates in the subsequent main analyses. It is expected that the treatment group will demonstrate improved emotion regulation and reduced mood symptoms and loneliness following the music intervention, compared with the control group.

Yuan Cao, Yuanxin Shi, Debbie Chi Wing Low, Daniel T L Shek, David H K Shum, Radhika Tanksale, Genevieve Dingle