AIMC Topic: Wounds and Injuries
Clear Filters Showing 111 to 120 of 148 articles
[Potential applications of large language models in trauma surgery : Opportunities, risks and perspectives].
Unfallchirurgie (Heidelberg, Germany)
Aug 1, 2025
The integration of large language models (LLM) into the care of trauma surgery patients offers an exciting opportunity with immense potential to enhance the efficiency and quality of care. The LLM can serve as supportive tools for diagnosis, decision...
Assessing Clinician Consistency in Wound Tissue Classification and the Value of AI-Assisted Quantification: A Cross-Sectional Study.
International wound journal
Jun 1, 2025
This study investigated the relationship between clinician assessments and the AI-generated scores, highlighting how correlations vary based on clinician expertise. It also explored the proportion of tissue types identified by clinicians relative to ...
An enhanced harmonic densely connected hybrid transformer network architecture for chronic wound segmentation utilising multi-colour space tensor merging.
Computers in biology and medicine
Jun 1, 2025
Chronic wounds and associated complications present ever growing burdens for clinics and hospitals world wide. Venous, arterial, diabetic, and pressure wounds are becoming increasingly common globally. These conditions can result in highly debilitati...
Application of the Bidirectional Encoder Representations from Transformers Model for Predicting the Abbreviated Injury Scale in Patients with Trauma: Algorithm Development and Validation Study.
JMIR formative research
May 29, 2025
BACKGROUND: Deaths related to physical trauma impose a heavy burden on society, and the Abbreviated Injury Scale (AIS) is an important tool for injury research. AIS covers injuries to various parts of the human body and scores them based on the sever...
[Expert consensus on systematic assessment and treatment of refractory wounds in the elderly (2025 edition)].
Zhonghua shao shang yu chuang mian xiu fu za zhi
May 20, 2025
Early prevention and standardized management of refractory wounds in the elderly are very important for improving prognosis, reducing disability rate, and improving the quality of life of patients. For the diagnosis and treatment of refractory wounds...
Utilizing Image Processing Techniques for Wound Management and Evaluation in Clinical Practice: Establishing the Feasibility of Implementing Artificial Intelligence in Routine Wound Care.
Advances in skin & wound care
May 14, 2025
OBJECTIVE: To develop a generalizable and accurate method for automatically analyzing wound images captured in clinical practice and extracting key wound characteristics such as surface area measurement.
Automated identification of fall-related injuries in unstructured clinical notes.
American journal of epidemiology
Apr 8, 2025
Fall-related injuries (FRIs) are a major cause of hospitalizations among older patients, but identifying them in unstructured clinical notes poses challenges for large-scale research. In this study, we developed and evaluated natural language process...
Prehospital triage of trauma patients: predicting major surgery using artificial intelligence as decision support.
The British journal of surgery
Mar 28, 2025
BACKGROUND: Matching the necessary resources and facilities to attend to the needs of trauma patients is traditionally performed by clinicians using criteria-directed triage protocols. In the present study, it was hypothesized that an artificial inte...
Modeling of injury severity of distracted driving accident using statistical and machine learning models.
PloS one
Jan 1, 2025
Distracted Driving (DD) is one of the global causes of high mortality and fatality in road traffic accidents. The increase in the number of distracted driving accidents (DDAs) is one of the concerns among transportation communities. The present study...
Is Generative AI Increasing the Risk for Technology-Mediated Trauma Among Vulnerable Populations?
Nursing inquiry
Jan 1, 2025
The proliferation of Generative Artificial Intelligence (Generative AI) has led to an increased reliance on AI-generated content for designing and deploying digital health interventions. While generative AI has the potential to facilitate and automat...
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