Machine Learning

Stigma Attitudes Toward HIV/AIDS From 2011 Through 2023 in Japan: Retrospective Study in Japan

Yi Piao, Nao Taguchi, Keisuke Harada, Kunihiro Hirahara, Yosuke Takaku, John Austin, KuanYeh Lee, Yui Shiozawa, Yunfei Cheng, Yoji Inoue

J Med Internet Res 2025 (May 12); 27:e69696

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Decoding Digital Discourse Through Multimodal Text and Image Machine Learning Models to Classify Sentiment and Detect Hate Speech in Race- and Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and Asexual Community–Related Posts on Social Media: Quantitative Study

Thu T Nguyen, Xiaohe Yue, Heran Mane, Kyle Seelman, Penchala Sai Priya Mullaputi, Elizabeth Dennard, Amrutha S Alibilli, Junaid S Merchant, Shaniece Criss, Yulin Hswen, Quynh C Nguyen

J Med Internet Res 2025 (May 12); 27:e72822

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Transformer-Based Language Models for Group Randomized Trial Classification in Biomedical Literature: Model Development and Validation

Elaheh Aghaarabi, David Murray

JMIR Med Inform 2025 (May 09); 13:e63267

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Machine Learning Clinical Decision Support for Interdisciplinary Multimodal Chronic Musculoskeletal Pain Treatment: Prospective Pilot Study of Patient Assessment and Prognostic Profile Validation

Fredrick Zmudzki, Rob J E M Smeets, Jan S Groenewegen, Erik van der Graaff

JMIR Rehabil Assist Technol 2025 (May 09); 12:e65890

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Development of a 5-Year Risk Prediction Model for Transition From Prediabetes to Diabetes Using Machine Learning: Retrospective Cohort Study

Yongsheng Zhang, Hongyu Zhang, Dawei Wang, Na Li, Haoyue Lv, Guang Zhang

J Med Internet Res 2025 (May 09); 27:e73190

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Designing Personalized Multimodal Mnemonics With AI: A Medical Student’s Implementation Tutorial

Noor Elabd, Zafirah Muhammad Rahman, Salma Ibrahim Abu Alinnin, Samiyah Jahan, Luciana Aparecida Campos, Ovidiu Constantin Baltatu

JMIR Med Educ 2025 (May 08); 11:e67926

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Building and Beta-Testing Be Well Buddy Chatbot, a Secure, Credible and Trustworthy AI Chatbot That Will Not Misinform, Hallucinate or Stigmatize Substance Use Disorder: Development and Usability Study

Adam Jerome Salyers, Sheana Bull, Joshva Silvasstar, Kevin Howell, Tara Wright, Farnoush Banaei-Kashani

JMIR Hum Factors 2025 (May 07); 12:e69144

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Comparing Artificial Intelligence–Generated and Clinician-Created Personalized Self-Management Guidance for Patients With Knee Osteoarthritis: Blinded Observational Study

Kai Du, Ao Li, Qi-Heng Zuo, Chen-Yu Zhang, Ren Guo, Ping Chen, Wei-Shuai Du, Shu-Ming Li

J Med Internet Res 2025 (May 07); 27:e67830

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Forecasting Subjective Cognitive Decline: AI Approach Using Dynamic Bayesian Networks

Antti Etholén, Teemu Roos, Mirja Hänninen, Ioanna Bouri, Jenni Kulmala, Ossi Rahkonen, Anne Kouvonen, Tea Lallukka

J Med Internet Res 2025 (May 06); 27:e65028

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Diagnosis of Sarcopenia Using Convolutional Neural Network Models Based on Muscle Ultrasound Images: Prospective Multicenter Study

Zi-Tong Chen, Xiao-Long Li, Feng-Shan Jin, Yi-Lei Shi, Lei Zhang, Hao-Hao Yin, Yu-Li Zhu, Xin-Yi Tang, Xi-Yuan Lin, Bei-Lei Lu, Qun Wang, Li-Ping Sun, Xiao-Xiang Zhu, Li Qiu, Hui-Xiong Xu, Le-Hang Guo

J Med Internet Res 2025 (May 06); 27:e70545

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Code Error in “Diagnostic Classification and Prognostic Prediction Using Common Genetic Variants in Autism Spectrum Disorder: Genotype-Based Deep Learning”

Catriona Miller, Theo Portlock, Denis M Nyaga, Greg D Gamble, Justin M O'Sullivan

JMIR Med Inform 2025 (May 06); 13:e66556

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Online Communities as a Support System for Alzheimer Disease and Dementia Care: Large-Scale Exploratory Study

Sidharth Kaliappan, Chunyu Liu, Yoshee Jain, Ravi Karkar, Koustuv Saha

JMIR Aging 2025 (May 05); 8:e68890

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Clinical Laboratory Parameter–Driven Machine Learning for Participant Selection in Bioequivalence Studies Among Patients With Gastric Cancer: Framework Development and Validation Study

Byungeun Shon, Sook Jin Seong, Eun Jung Choi, Mi-Ri Gwon, Hae Won Lee, Jaechan Park, Ho-Young Chung, Sungmoon Jeong, Young-Ran Yoon

JMIR AI 2025 (May 05); 4:e64845

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Developing a Scalable Annotation Method for Large Datasets That Enhances Alarms With Actionability Data to Increase Informativeness: Mixed Methods Approach

Sophie Anne Inès Klopfenstein, Anne Rike Flint, Patrick Heeren, Mona Prendke, Amin Chaoui, Thomas Ocker, Jonas Chromik, Bert Arnrich, Felix Balzer, Akira-Sebastian Poncette

J Med Internet Res 2025 (May 05); 27:e65961

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The Application Status of Radiomics-Based Machine Learning in Intrahepatic Cholangiocarcinoma: Systematic Review and Meta-Analysis

Lan Xu, Zian Chen, Dan Zhu, Yingjun Wang

J Med Internet Res 2025 (May 05); 27:e69906

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Association Between Risk Factors and Major Cancers: Explainable Machine Learning Approach

Xiayuan Huang, Shushun Ren, Xinyue Mao, Sirui Chen, Elle Chen, Yuqi He, Yun Jiang

JMIR Cancer 2025 (May 02); 11:e62833

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Identifying Asthma-Related Symptoms From Electronic Health Records Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective Study

Fagen Xie, Robert S Zeiger, Mary Marycania Saparudin, Sahar Al-Salman, Eric Puttock, William Crawford, Michael Schatz, Stanley Xu, William M Vollmer, Wansu Chen

JMIR AI 2025 (May 02); 4:e69132

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Development of a Predictive Model for Metabolic Syndrome Using Noninvasive Data and its Cardiovascular Disease Risk Assessments: Multicohort Validation Study

Jin-Hyun Park, Inyong Jeong, Gang-Jee Ko, Seogsong Jeong, Hwamin Lee

J Med Internet Res 2025 (May 02); 27:e67525

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Natural Language Processing and Machine Learning Techniques for Analyzing Conversations About Nutritional Yeasts in the United States and France: Retrospective Social Media Listening Study

Jean-François Jeanne, Joelle Malaab, Antoine Vanhove, Florian Mourey, Manissa Talmatkadi, Stéphane Schück

JMIR Infodemiology 2025 (May 01); 5:e60528

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Predicting Transvaginal Surgical Mesh Exposure Outcomes Using an Integrated Dataset of Blood Cytokine Levels and Medical Record Data: Machine Learning Approach

Mihyun Lim Waugh, Tyler Mills, Nicholas Boltin, Lauren Wolf, Patti Parker, Ronnie Horner, Thomas L Wheeler II, Richard L Goodwin, Melissa A Moss

JMIR Form Res 2025 (May 01); 9:e59631

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