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JMIR Formative Research|January 12, 2024
Privacy Concerns About Sharing General and Specific Health Information on Twitter: Quantitative StudyPouyan EsmaeilzadehJMIR Formative Research|January 4, 2024
Prevalence of Body Dysmorphic Disorder in the Spanish Population: Cross-Sectional Web-Based Questionnaire StudyÁlvaro Loewen, Hilario Blasco-Fontecilla, Chao Li, et al.JMIR Formative Research|December 14, 2023
A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept StudyInger Persson, Adam Grünwald, Ludivine Morvan, et al.JMIR Formative Research|December 15, 2023
Patient and Provider Experiences With a Digital App to Improve Compliance With Enhanced Recovery After Surgery (ERAS) Protocols: Mixed Methods Evaluation of a Canadian ExperienceSanjay Beesoon, Ashley Drobot, Melissa Smokeyday, et al.JMIR Formative Research|December 22, 2023
The Effects of Virtual Reality Telemedicine With Pediatric Patients Diagnosed With Posttraumatic Stress Disorder: Exploratory Research Method Case ReportErin BogdanskiJMIR Formative Research|December 21, 2023
Involving Patients and Clinicians in the Design of Wireframes for Cancer Medicines Electronic Patient Reported Outcome Measures in Clinical Care: Mixed Methods StudyEmma Dunlop, Aimee Ferguson, Tanja Mueller, et al.JMIR Formative Research|January 15, 2024
Exploring Adolescents' Attitudes Toward Mental Health Apps: Concurrent Mixed Methods StudyHelene Høgsdal, Henriette Kyrrestad, Marte Rye, et al.JMIR Formative Research|January 17, 2024
Designing and Developing a Mobile App for Management and Treatment of Gestational Diabetes in Nepal: User-Centered Design StudyAarthi Shanmugavel, Prabin Raj Shakya, Archana Shrestha, et al.JMIR Formative Research|December 28, 2023
A Deep Learning-Based Approach for Prediction of Vancomycin Treatment Monitoring: Retrospective Study Among Patients With Critical IllnessDohyun Kim, Hyun-Soo Choi, DongHoon Lee, et al.JMIR Formative Research|December 28, 2023
Exploring the Potential of ChatGPT-4 in Predicting Refractive Surgery Categorizations: Comparative StudyAleksandar Ćirković, Toam KatzPageof 490