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Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study

Heonyi Lee, Yi-Jun Kim, Jin-Hong Kim, Soo-Kyung Kim, Tae-Dong Jeong

J Med Internet Res 2025;27:e63983

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Proximal Effects of a Just-in-Time Adaptive Intervention for Smoking Cessation With Wearable Sensors: Microrandomized Trial

Christine Vinci, Steve K Sutton, Min-Jeong Yang, Sarah R Jones, Santosh Kumar, David W Wetter

JMIR Mhealth Uhealth 2025;13:e55379

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Exploring Smart Health Wearable Adoption Among Singaporean Older Adults Based on Self-Determination Theory: Web-Based Survey Study

Hyunjin Kang, Tingting Yang, Nazira Banu, Sheryl Wei Ting Ng, Jeong Kyu Lee

JMIR Aging 2025;8:e69008

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Machine Learning to Assist in Managing Acute Kidney Injury in General Wards: Multicenter Retrospective Study

Nam-Jun Cho, Inyong Jeong, Se-Jin Ahn, Hyo-Wook Gil, Yeongmin Kim, Jin-Hyun Park, Sanghee Kang, Hwamin Lee

J Med Internet Res 2025;27:e66568

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Nationwide Trends in Screen Time and Associated Risk Factors by Family Structures Among Adolescents, 2008-2022: Nationwide Cross-Sectional Study

Seokjun Kim, Hyesu Jo, Yejun Son, Min Kyung Shin, Kyeongmin Lee, Jaeyu Park, Hayeon Lee, Lee Smith, Elena Dragioti, Guillaume Fond, Laurent Boyer, Guillermo F López Sánchez, Mark A Tully, Masoud Rahmati, Damiano Pizzol, Selin Woo, Dong Keon Yon

JMIR Public Health Surveill 2025;11:e57962

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Comparison of Outcomes Between Staged and Same-Day Circumferential Spinal Fusion for Adult Spinal Deformity: Systematic Review and Meta-Analysis

Mert Marcel Dagli, Ryan William Turlip, Felix C Oettl, Mohamed Emara, Jaskeerat Gujral, Daksh Chauhan, Hasan S Ahmad, Gabrielle Santangelo, Connor Wathen, Yohannes Ghenbot, John D Arena, Joshua L Golubovsky, Ben J Gu, John H Shin, Jang Won Yoon, Ali K Ozturk, William C Welch

Interact J Med Res 2025;14:e67290

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Machine Learning–Based Prediction of Delirium and Risk Factor Identification in Intensive Care Unit Patients With Burns: Retrospective Observational Study

Ryo Esumi, Hiroki Funao, Eiji Kawamoto, Ryota Sakamoto, Asami Ito-Masui, Fumito Okuno, Toru Shinkai, Atsuya Hane, Kaoru Ikejiri, Yuichi Akama, Arong Gaowa, Eun Jeong Park, Ryo Momosaki, Ryuji Kaku, Motomu Shimaoka

JMIR Form Res 2025;9:e65190

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Assessment of the Sensitivity of a Smartphone App to Assist Patients in the Identification of Stroke and Myocardial Infarction: Cross-Sectional Study

Amar Dhand, Rama Mangipudi, Anubodh S Varshney, Jonathan R Crowe, Andria L Ford, Nancy K Sweitzer, Min Shin, Samuel Tate, Haissam Haddad, Michael E Kelly, James Muller, Jay S Shavadia

JMIR Form Res 2025;9:e60465

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Harnessing Social Media Data to Understand Information Needs About Kidney Diseases and Emotional Experiences With Disease Management: Topic and Sentiment Analysis

Hee Jeong Hwang, Nara Kim, Jeong Yun You, Hye Ri Ryu, Seo-Young Kim, Jung Han Yoon Park, Ki Won Lee

J Med Internet Res 2025;27:e64838

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Machine Learning–Based Prediction of Substance Use in Adolescents in Three Independent Worldwide Cohorts: Algorithm Development and Validation Study

Soeun Kim, Hyejun Kim, Seokjun Kim, Hojae Lee, Ahmed Hammoodi, Yujin Choi, Hyeon Jin Kim, Lee Smith, Min Seo Kim, Guillaume Fond, Laurent Boyer, Sung Wook Baik, Hayeon Lee, Jaeyu Park, Rosie Kwon, Selin Woo, Dong Keon Yon

J Med Internet Res 2025;27:e62805

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