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Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients

Jack Lumsdon, Cameron Wilson, Lisa Alcock, Clemens Becker, Francesco Benvenuti, Tecla Bonci, Koen van den Brande, Gavin Brittain, Philip Brown, Ellen Buckley, Marco Caruso, Brian Caulfield, Andrea Cereatti, Laura Delgado-Ortiz, Silvia Del Din, Jordi Evers, Judith Garcia-Aymerich, Heiko Gaßner, Tova Gur Arieh, Clint Hansen, Jeffrey M Hausdorff, Hugo Hiden, Emily Hume, Cameron Kirk, Walter Maetzler, Dimitrios Megaritis, Lynn Rochester, Kirsty Scott, Basil Sharrack, Norman Sutton, Beatrix Vereijken, Ioannis Vogiatzis, Alison Yarnall, Alison Keogh, Alma Cantu

JMIR Form Res 2025;9:e68782

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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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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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The Use of Digital Devices to Monitor Physical Behavior in Motor Neuron Disease: Systematic Review

Lucy Samantha Musson, Nina Mitic, Victoria Leigh-Valero, Gladys Onambele-Pearson, Liam Knox, Frederik J Steyn, Cory J Holdom, Taylor JM Dick, Ruben PA van Eijk, Jordi WJ van Unnik, Lianne CM Botman, Emily Beswick, Deirdre Murray, Alys Griffiths, Christopher McDermott, Esther Hobson, Amina Chaouch, Emma Hodson-Tole

J Med Internet Res 2025;27:e68479

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Assessing Patient-Reported Satisfaction With Care and Documentation Time in Primary Care Through AI-Driven Automatic Clinical Note Generation: Protocol for a Proof-of-Concept Study

This study was approved by the University Institute for Primary Care Research Jordi Gol Health Care Ethics Committee (Code 3/286-P). The research adhered to institutional guidelines for studies involving human subjects, including those requiring the recording of patient interactions and subsequent analysis. Written informed consent will be obtained from all participants before their inclusion in the study. Participation was entirely voluntary.

Josep Vidal-Alaball, Carlos Alonso, Daniel Hugo Heinisch, Alberto Castaño, Encarna Sánchez-Freire, María Luisa Benito Serrano, Carla Ferrer Pascual, Ignacio Menacho, Ruthy Acosta-Rojas, Odda Cardona Gubert, Rosa Farrés Creus, Joan Armengol Alegre, Carles Martínez Querol, Marina Moreno-Martinez, Mercè Gonfaus Font, Silvia Narejos, Anna Gomez-Fernandez