Published on in Vol 25 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/46854, first published
.

Journals
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- Yi M, Cao Y, Wang J, Shi C, Cheng Y, Cao Y. The Efficacy of Rule of Law Publicity Short Video Platforms in the Prevention of Medical Disputes Among Healthcare Professionals: A Propensity Score Analysis. Risk Management and Healthcare Policy 2023;Volume 16:2263 View
- Han T, Xiong F, Sun B, Zhong L, Han Z, Lei M. Development and validation of an artificial intelligence mobile application for predicting 30-day mortality in critically ill patients with orthopaedic trauma. International Journal of Medical Informatics 2024;184:105383 View
- Cui Y, Shi X, Qin Y, Wang Q, Cao X, Che X, Pan Y, Wang B, Lei M, Liu Y. Establishment and validation of an interactive artificial intelligence platform to predict postoperative ambulatory status for patients with metastatic spinal disease: a multicenter analysis. International Journal of Surgery 2024;110(5):2738 View
- Li J, Zhu T, Wang L, Yang L, Zhu Y, Li R, Li Y, Chen Y, Zhang L. Study on medical dispute prediction model and its clinical-application effectiveness based on machine learning. BMC Medical Informatics and Decision Making 2024;24(1) View
- Zhang H, Gu Y, Liang B, Gao Y, Zhang F, Yun L. Eager for an innovative path: solving the puzzle of medical dispute resolution in China combined with bibliometric analysis. Frontiers in Health Services 2024;4 View
- Chen Q, Liu X, Liu X, Song P, Quan X, Xiong H, Wang D, Hu X, Zhang H, Shi M. Improving surgical quality of care: learning from 8,331 surgical medical malpractice cases. Frontiers in Medicine 2024;11 View
- Jiang W, Zhang J, Shi W, Cao X, Zhao X, Zhang B, Yu H, Wang S, Qin Y, Lei M, Cao Y, Zhu B, Liu Y. An artificial intelligence platform for predicting postoperative complications in metastatic spinal surgery: development and validation study. Journal of Big Data 2025;12(1) View
- Long Z, Tan S, Sun B, Qin Y, Wang S, Han Z, Han T, Lin F, Lei M. PREDICTING IN-HOSPITAL MORTALITY IN CRITICAL ORTHOPEDIC TRAUMA PATIENTS WITH SEPSIS USING MACHINE LEARNING MODELS. Shock 2025;63(6):815 View
- Zuo F, Su J, Li Y, Xin H, Li C, Huang L, Zhang L, Li J, Zeng Z, Chen Y, Gong Y, Chen J, Lan Y, Chen Y, Zhang C, Peng Y, Luo G, Yuan Z. Development and validation of a machine learning–based model for predicting intraoperative blood loss during burn surgery. Surgery 2025;184:109445 View
- Wang S, Liu T, Long Z, Qin Y, Sun B, Han Z, Zhang X, Li L, Lei M. CHRONIC CRITICAL ILLNESS IN BONE TRAUMA PATIENTS: AN AI-BASED APPROACH FOR INTENSIVE CARE UNIT HEALTHCARE PROVIDERS. Shock 2025;64(1):27 View
- Peng Z, Zhong S, Li X, Yu F, Tang Z, Ma C, Liao Z, Zhao S, Xia Y, Fu H, Long W, Lei M, He Z. An artificial intelligence model to predict mortality among hemodialysis patients: A retrospective validated cohort study. Scientific Reports 2025;15(1) View
- Huang H, Jiang S, Chen Z, Yu X, Ren K, Zhao Q. A w-ACT model for sarcopenia among community-dwelling older adults based on National Basic Public Health Services: development and validation study. Frontiers in Public Health 2025;13 View
- Peng A, Kim D, Schaubroeck J, Zeng W. When Dirty Work Inspires: The Joint Effect of Work Dirtiness and Perceived Stigma on Pro-Organizational Behavior. Academy of Management Journal 2025 View
- Cui Y, Shi X, Wang Q, Qin Y, Zhao X, Che X, Wang S, Pan Y, Wang B, Cao Y, Liu Y, Lei M. Artificial intelligence-based prediction model for surgical site infection in metastatic spinal disease: a multicenter development and validation study. International Journal of Surgery 2025;111(10):6867 View
Conference Proceedings
- Ma Y, Yuan H, Leng L. Fourth International Conference on Computer Vision, Application, and Algorithm (CVAA 2024). Application of LSTM emotion recognition based on deep learning and attention mechanism in patient relationship mediation View
