Decision Support for Health Professionals

Predictive Performance of Machine Learning for Suicide in Adolescents: Systematic Review and Meta-Analysis

Lingjiang Liu, Zhiyuan Li, Yaxin Hu, Chunyou Li, Shuhan He, Shibei Zhang, Jie Gao, Huaiyi Zhu, Guoping Huang

J Med Internet Res 2025 (Jun 16); 27:e73052

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Prediction of Insulin Resistance in Nondiabetic Population Using LightGBM and Cohort Validation of Its Clinical Value: Cross-Sectional and Retrospective Cohort Study

Ting Peng, Rujia Miao, Hao Xiong, Yanhui Lin, Duzhen Fan, Jiayi Ren, Jiangang Wang, Yuan Li, Jianwen Chen

JMIR Med Inform 2025 (Jun 13); 13:e72238

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Knowledge Graph–Enhanced Deep Learning Model (H-SYSTEM) for Hypertensive Intracerebral Hemorrhage: Model Development and Validation

Yulong Xia, Jie Li, Bo Deng, Qilin Huang, Fenglin Cai, Yanfeng Xie, Xiaochuan Sun, Quanhong Shi, Wei Dan, Yan Zhan, Li Jiang

J Med Internet Res 2025 (Jun 12); 27:e66055

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Implementation of a Quality Improvement and Clinical Decision Support Tool for Cancer Diagnosis in Primary Care: Process Evaluation

Sophie Chima, Barbara Hunter, Javiera Martinez-Gutierrez, Natalie Lumsden, Craig Nelson, Dougie Boyle, Kaleswari Somasundaram, Jo-Anne Manski-Nankervis, Jon Emery

JMIR Cancer 2025 (Jun 12); 11:e65461

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Recommendations for Successful Development and Implementation of Digital Health Technology Tools

Rebecca Ting Jiin Loo, Francesco Nasta, Mirco Macchi, Anaïs Baudot, Frada Burstein, Riley Bove, Maike Greve, Holger Fröhlich, Sara Khalid, Arne Küderle, Susan L Moore, Valerie Storms, John Torous, Enrico Glaab

J Med Internet Res 2025 (Jun 11); 27:e56747

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Using a Large Language Model for Breast Imaging Reporting and Data System Classification and Malignancy Prediction to Enhance Breast Ultrasound Diagnosis: Retrospective Study

Su Miaojiao, Liang Xia, Zeng Xian Tao, Hong Zhi Liang, Cheng Sheng, Wu Songsong

JMIR Med Inform 2025 (Jun 11); 13:e70924

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Examining How Technology Supports Shared Decision-Making in Oncology Consultations: Qualitative Thematic Analysis

Alan Yung, Tim Shaw, Judy Kay, Anna Janssen

JMIR Cancer 2025 (Jun 11); 11:e70827

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A Deep Learning Model for Identifying the Risk of Mesenteric Malperfusion in Acute Aortic Dissection Using Initial Diagnostic Data: Algorithm Development and Validation

Zhechuan Jin, Jiale Dong, Chengxiang Li, Yi Jiang, Jian Yang, Lei Xu, Ping Li, Zhun Xie, Yulin Li, Dongjin Wang, Zhili Ji

J Med Internet Res 2025 (Jun 10); 27:e72649

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Large Language Models in Medical Diagnostics: Scoping Review With Bibliometric Analysis

Hankun Su, Yuanyuan Sun, Ruiting Li, Aozhe Zhang, Yuemeng Yang, Fen Xiao, Zhiying Duan, Jingjing Chen, Qin Hu, Tianli Yang, Bin Xu, Qiong Zhang, Jing Zhao, Yanping Li, Hui Li

J Med Internet Res 2025 (Jun 09); 27:e72062

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Clinical Management of Wasp Stings Using Large Language Models: Cross-Sectional Evaluation Study

Wei Pan, Shuman Zhang, Yonghong Wang, Zhenglin Quan, Yanxia Zhu, Zhicheng Fang, Xianyi Yang

J Med Internet Res 2025 (Jun 04); 27:e67489

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Trajectory-Ordered Objectives for Self-Supervised Representation Learning of Temporal Healthcare Data Using Transformers: Model Development and Evaluation Study

Ali Amirahmadi, Farzaneh Etminani, Jonas Björk, Olle Melander, Mattias Ohlsson

JMIR Med Inform 2025 (Jun 04); 13:e68138

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Intention to Use Automated Diagnosis and Clinical Risk Perceptions Among First Contact Clinicians in Resource-Poor Settings: Questionnaire-Based Study Focusing on Acute Burns

Constance Boissin, Lisa Blom, Zara Taha, Lee Wallis, Nikki Allorto, Lucie Laflamme

JMIR Hum Factors 2025 (Jun 03); 12:e56300

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Artificial Intelligence in Patch Testing: Comprehensive Review of Current Applications and Future Prospects in Dermatology

Hilary S Tang, Joseph Ebriani, Matthew J Yan, Shannon Wongvibulsin, Mehdi Farshchian

JMIR Dermatol 2025 (Jun 02); 8:e67154

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Enhancing Antidiabetic Drug Selection Using Transformers: Machine-Learning Model Development

Hisashi Kurasawa, Kayo Waki, Tomohisa Seki, Eri Nakahara, Akinori Fujino, Nagisa Shiomi, Hiroshi Nakashima, Kazuhiko Ohe

JMIR Med Inform 2025 (Jun 02); 13:e67748

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Experience of Cardiovascular and Cerebrovascular Disease Surgery Patients: Sentiment Analysis Using the Korean Bidirectional Encoder Representations from Transformers (KoBERT) Model

Hocheol Lee, Yu Seong Hwang, Ye Jun Kim, Yukyung Park, Heui Sug Jo

JMIR Med Inform 2025 (May 30); 13:e65127

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Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study

Mingwei Zhang, Ming Zhong, Yunzhang Cheng, Tianyi Zhang

JMIR Med Inform 2025 (May 30); 13:e74940

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Comparative Efficacy of MultiModal AI Methods in Screening for Major Depressive Disorder: Machine Learning Model Development Predictive Pilot Study

Donghao Chen, Pengfei Wang, Xiaolong Zhang, Runqi Qiao, Nanxi Li, Xiaodong Zhang, Honggang Zhang, Gang Wang

JMIR Form Res 2025 (May 30); 9:e56057

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Requirement Analysis for Data-Driven Electroencephalography Seizure Monitoring Software to Enhance Quality and Decision Making in Digital Care Pathways for Epilepsy: A Feasibility Study from the Perspectives of Health Care Professionals

Pantea Keikhosrokiani, Johanna Annunen, Jonna Komulainen-Ebrahim, Jukka Kortelainen, Mika Kallio, Päivi Vieira, Minna Isomursu, Johanna Uusimaa

JMIR Hum Factors 2025 (May 30); 12:e59558

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Machine Learning and Deep Learning Techniques for Prediction and Diagnosis of Leptospirosis: Systematic Literature Review

Suhila Sawesi, Arya Jadhav, Bushra Rashrash

JMIR Med Inform 2025 (May 29); 13:e67859

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Machine Learning for the Prediction of Acute Kidney Injury in Critically Ill Patients With Coronary Heart Disease: Algorithm Development and Validation

Yike Li, Mingyang Xiao, Yaqian Li, Lulu Lv, Shanshan Zhang, Yuhui Liu, Juan Zhang

JMIR Med Inform 2025 (May 28); 13:e72349

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