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Greater Improvements in Vaccination Outcomes Among Black Young Adults With Vaccine-Resistant Attitudes in the United States South Following a Digital Health Intervention: Latent Profile Analysis of a Randomized Control Trial

Noah Mancuso, Jenna Michaels, Erica N Browne, Allysha C Maragh-Bass, Jacob B Stocks, Zachary R Soberano, C Lily Bond, Ibrahim Yigit, Maria Leonora G Comello, Margo Adams Larsen, Kathryn E Muessig, Audrey Pettifor, Lisa B Hightow-Weidman, Henna Budhwani, Marie C D Stoner

JMIR Public Health Surveill 2025;11:e67370

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Authors’ Reply: Enhancing AI-Driven Medical Translations: Considerations for Language Concordance

Joyce Teng, Roberto Andres Novoa, Maria Alexandrovna Aleshin, Jenna Lester, Kira Seiger, Fiatsogbe Dzuali, Roxana Daneshjou

JMIR Med Educ 2025;11:e71721

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Examining Weight Suppression, Leptin Levels, Glucagon-Like Peptide 1 Response, and Reward-Related Constructs in Severity and Maintenance of Bulimic Syndromes: Protocol and Sample Characteristics for a Cross-Sectional and Longitudinal Study

Pamela K Keel, Lindsay P Bodell, Sarrah I Ali, Austin Starkey, Jenna Trotta, J Woody Luxama, Chloé Halfhide, Naomi G Hill, Jonathan Appelbaum, Diana L Williams

JMIR Res Protoc 2025;14:e66554

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Exploratory Co-Design on Electronic Health Record Nursing Summaries: Case Study

Suhyun Park, Jenna L Marquard, Robin R Austin, Christie L Martin, David S Pieczkiewicz, Connie W Delaney

JMIR Form Res 2025;9:e68906

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Perspectives of Black, Latinx, Indigenous, and Asian Communities on Health Data Use and AI: Cross-Sectional Survey Study

Fatuma-Ayaan Rinderknecht, Vivian B Yang, Mekaleya Tilahun, Jenna C Lester

J Med Internet Res 2025;27:e50708

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The Effects of Presenting AI Uncertainty Information on Pharmacists’ Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study

Lester et al [24] trained a Res Net-18 deep learning model to predict the labeled features of a medication product using an image showing medication inside a filled prescription bottle. In a test set containing 65,274 images of 345 unique oral drug products, the overall macroaverage precision, that is, the mean of precision values for each class, was 98.5%.

Jin Yong Kim, Vincent D Marshall, Brigid Rowell, Qiyuan Chen, Yifan Zheng, John D Lee, Raed Al Kontar, Corey Lester, Xi Jessie Yang