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Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study

Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study

All direct identifiers of patients whose data were used in this study were de-identified prior to analysis to ensure participants privacy and confidentiality. Minimal necessary identifiable information was accessed or stored during the study beyond possible HIPAA data in clinical notes, radiological images, and real dates. Participants did not receive any compensation for this data analysis, as no new data were collected and no direct contact with participants occurred.

Mahmudur Rahman, Jifan Gao, Kyle A Carey, Dana P Edelson, Askar Afshar, John W Garrett, Guanhua Chen, Majid Afshar, Matthew M Churpek

JMIR AI 2025;4:e67144

Association of Social Media Recruitment and Depression Among Racially and Ethnically Diverse Metabolic and Bariatric Surgery Candidates: Prospective Cohort Study

Association of Social Media Recruitment and Depression Among Racially and Ethnically Diverse Metabolic and Bariatric Surgery Candidates: Prospective Cohort Study

A 2014 meta-analysis of 164 studies involving 160,000 patients found that BMI decreased by at least 11.8 kg/m² one-year post MBS, with sustained weight loss observed five years post surgery [5]. Most individuals who undergo MBS experience a reduction or complete elimination of obesity-related health issues, including high blood pressure, heart disease, diabetes, asthma, and osteoarthritis [6,7].

Jackson M Francis, Sitapriya S Neti, Dhatri Polavarapu, Folefac Atem, Luyu Xie, Olivia Kapera, Matthew S Mathew, Elisa Marroquin, Carrie McAdams, Jeffrey Schellinger, Sophia Ngenge, Sachin Kukreja, Benjamin E Schneider, Jaime P Almandoz, Sarah E Messiah

JMIR Form Res 2025;9:e58916

Decentralized Biobanking Apps for Patient Tracking of Biospecimen Research: Real-World Usability and Feasibility Study

Decentralized Biobanking Apps for Patient Tracking of Biospecimen Research: Real-World Usability and Feasibility Study

Participants were recruited via electronic and paper fliers for “Decentralized Biobanking “de-bi”: An App for Patient Feedback from Biobank Research Donation” (STUDY22020035). The pilot aimed to recruit 300 participants over 6 to 12 months. App download invites were distributed via email with Apple and Android instructions. IT support was provided as needed, with real-time bug fixes and improvements based on user feedback. App interfaces, design, and features were iterated in monthly sprints.

William Sanchez, Ananya Dewan, Eve Budd, M Eifler, Robert C Miller, Jeffery Kahn, Mario Macis, Marielle Gross

JMIR Bioinform Biotech 2025;6:e70463