Artificial Intelligence in Acute Care Surgery and Trauma Health Care
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Emergency Medicine".
Deadline for manuscript submissions: 25 March 2026 | Viewed by 10
Special Issue Editors
2. Department of Surgery, University of Minnesota, Minneapolis, MN 55455, USA
Interests: advanced machine learning; global surgery; artificial intelligence; trauma; robotic surgery; global health; critical care
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) is rapidly transforming trauma and acute care surgery, building on decades of innovation in digital health and data-driven medicine.
This Special Issue aims to explore the integration of AI into clinical diagnostics, surgical planning, and patient monitoring in high-acuity settings in the pre-hospital and pre-operative stages. We highlight cutting-edge research in relation to machine learning, predictive analytics, and real-time data applications that enhance surgical outcomes and operational efficiency.
We invite original research, reviews, and perspectives that address technical advances, clinical applications, and future directions in AI-driven trauma and acute care surgery.
Research areas may include (but are not limited to) the following:
- Artificial neural networks;
- Deep learning;
- Robotic surgery;
- Virtual reality and augmented reality;
- Artificial intelligence for surgical imaging.
We look forward to receiving your contributions.
Dr. Sergio M. Navarro
Dr. Daniel Stephens
Guest Editors
Manuscript Submission Information
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Keywords
- artificial neural networks
- robotic surgery
- virtual reality
- augmented reality
- artificial intelligence
- virtual reality
- deep learning
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