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Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care

Clare E Palmer, Emily Marshall, Edward Millgate, Graham Warren, Michael Ewbank, Elisa Cooper, Samantha Lawes, Alastair Smith, Chris Hutchins-Joss, Jessica Young, Malika Bouazzaoui, Morad Margoum, Sandra Healey, Louise Marshall, Shaun Mehew, Ronan Cummins, Valentin Tablan, Ana Catarino, Andrew E Welchman, Andrew D Blackwell

J Med Internet Res 2025;27:e69351

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The Elastic Electronic Health Record: A Five-Tiered Framework for Applying Artificial Intelligence to Electronic Health Record Maintenance, Configuration, and Use

Colby Uptegraft, Kameron Collin Black, Jonathan Gale, Andrew Marshall, Shuhan He

JMIR AI 2025;4:e66741

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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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The Fire Fighter Cancer Cohort Study: Protocol for a Longitudinal Occupational Cohort Study

Jefferey L Burgess, Shawn C Beitel, Miriam M Calkins, Melissa A Furlong, Paola Louzado Feliciano, Jamie Kolar Gabriel, Casey Grant, Jaclyn M Goodrich, Judith M Graber, Olivia Healy, James Hollister, Jeff Hughes, Sara Jahnke, Krystal Kern, Frank A Leeb, Alberto J Caban-Martinez, Alexander C Mayer, Russell Osgood, Cynthia Porter, Sreenivasan Ranganathan, Heather M Stapleton, Natasha Schaefer Solle, Christine Toennis, Derek J Urwin, Michelle Valenti, John J Gulotta

JMIR Res Protoc 2025;14:e70522

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Effect of Uncertainty-Aware AI Models on Pharmacists’ Reaction Time and Decision-Making in a Web-Based Mock Medication Verification Task: Randomized Controlled Trial

Corey Lester, Brigid Rowell, Yifan Zheng, Zoe Co, Vincent Marshall, Jin Yong Kim, Qiyuan Chen, Raed Kontar, X Jessie Yang

JMIR Med Inform 2025;13:e64902

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Developing a Multisensor-Based Machine Learning Technology (Aidar Decompensation Index) for Real-Time Automated Detection of Post–COVID-19 Condition: Protocol for an Observational Study

Jenny Mathew, Jaclyn A Pagliaro, Sathyanarayanan Elumalai, Lauren K Wash, Ka Ly, Alison J Leibowitz, Varsha G Vimalananda

JMIR Res Protoc 2025;14:e54993

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Evaluating a Digital Health Tool Designed to Improve Low Sexual Desire in Women: Mixed-Methods Implementation Science Study

Lori A Brotto, Kyle R Stephenson, Nisha Marshall, Mariia Balvan, Yaroslava Okara, Elizabeth A Mahar

J Med Internet Res 2025;27:e69828

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Introducing Novel Methods to Identify Fraudulent Responses (Sampling With Sisyphus): Web-Based LGBTQ2S+ Mixed-Methods Study

Kinnon Ross MacKinnon, Naail Khan, Katherine M Newman, Wren Ariel Gould, Gin Marshall, Travis Salway, Annie Pullen Sansfaçon, Hannah Kia, June SH Lam

J Med Internet Res 2025;27:e63252

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Perspectives on Using Artificial Intelligence to Derive Social Determinants of Health Data From Medical Records in Canada: Large Multijurisdictional Qualitative Study

Victoria H Davis, Jinfan Rose Qiang, Itunuoluwa Adekoya MacCarthy, Dana Howse, Abigail Zita Seshie, Leanne Kosowan, Alannah Delahunty-Pike, Eunice Abaga, Jane Cooney, Marjeiry Robinson, Dorothy Senior, Alexander Zsager, Kris Aubrey-Bassler, Mandi Irwin, Lois A Jackson, Alan Katz, Emily Gard Marshall, Nazeem Muhajarine, Cory Neudorf, Stephanie Garies, Andrew D Pinto

J Med Internet Res 2025;27:e52244

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Exploring the Effect of an 8-Week AI-Composed Exercise Program on Pain Intensity and Well-Being in Patients With Spinal Pain: Retrospective Cohort Analysis

Annika Griefahn, Florian Avermann, Christoff Zalpour, Robert Percy Marshall, Inés Cordon Morillas, Kerstin Luedtke

JMIR Form Res 2025;9:e57826

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