Big Data and Artificial Intelligence in Trauma Outcome Prediction
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 11
Special Issue Editors
Interests: clinical decision support; trauma triage; outcome prediction; precision medicine; artificial intelligence
Interests: clinical data analysis; prediction models; medical sensor signal processing; machine learning; telemedicine; clinical decision support
Special Issue Information
Dear Colleagues,
This Special Issue, "Big Data and Artificial Intelligence in Trauma Outcome Prediction", will focus on the transformative role of artificial intelligence (AI) and big data analysis in improving trauma care and patient outcomes. This Special Issue will highlight cutting-edge research leveraging machine learning, deep learning, and predictive modeling to enhance trauma triage, risk stratification, and clinical decision support. We welcome contributions exploring diverse applications, including real-time trauma severity scoring, complications and the need for life-saving intervention prediction, traumatic brain injury (TBI) outcome prediction, personalized treatment strategies, and resource allocation in emergency settings. We are also interested in advanced techniques such as natural language processing for trauma documentation, ensemble models for injury pattern recognition, deep learning for imaging-based prognosis, and foundation models for multimodal trauma data integration.
The Special Issue will address challenges encountered when integrating AI into trauma systems, such as data interoperability and model interpretability. It will also examine the role of AI in mass casualty incident response, acute-phase and long-term outcome prediction (including early complications and functional recovery in TBI and polytrauma), and the early detection of life-threatening complications in trauma patients. By showcasing innovations in predictive analytics, this Special Issue will bridge the gap between AI research and clinical practice, fostering collaboration among data scientists, clinicians, and public health experts.
Prof. Dr. Peter Fu Ming Hu
Dr. Shiming Yang
Dr. William Teeter
Guest Editors
Manuscript Submission Information
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Keywords
- trauma triage
- emergency medicine
- clinical decision support
- outcome prediction
- precision medicine
- artificial intelligence
- natural language processing
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