The Role of Medical Helicopter and Ground Medical Crews in Polytrauma Management: An Evaluative Perspective.

Introduction: Polytrauma remains a major global health challenge, with rapid intervention being critical for survival, especially during the "Golden Hour". This study examines the impact of Helicopter Emergency Medical Services (HEMS) on procedural care during the transfer of polytraumatized patients to urban hospitals in Romania.

Methods: A retrospective cohort study was conducted at the County Emergency Hospital "St.

Predicting Deep Venous Thrombosis Using Artificial Intelligence: A Clinical Data Approach.

Deep venous thrombosis is a critical medical condition that occurs when a blood clot forms in a deep vein, usually in the legs, and can lead to life-threatening complications such as pulmonary embolism if not detected early. Hospitalized patients, especially those with immobility or post-surgical recovery, are at higher risk of developing deep venous thrombosis, making early prediction and intervention vital for preventing severe outcomes. In this study, we evaluated the following eight machine learning models to predict deep venous thrombosis risk: logistic regression, random forest, XGBoost, artificial neural networks, k-nearest neighbors, gradient boosting, CatBoost, and LightGBM.

Artificial Intelligence Applied in Early Prediction of Lower Limb Fracture Complications.

: Artificial intelligence has become a valuable tool for diagnosing and detecting postoperative complications early. Through imaging and biochemical markers, clinicians can anticipate the clinical progression of patients and the risk of long-term complications that could impact the quality of life or even be life-threatening. In this context, artificial intelligence is crucial for identifying early signs of complications and enabling clinicians to take preventive measures before problems worsen.

Psycho-Somatic Evolution of Patients with Multiple Traumatic Injuries.

Background And Objective: In this study, we aimed to identify the factors that could impact the Stress-Related Growth Scale (SRGS) questionnaire administered to patients.

Materials And Methods: Participants were asked to complete a written SRGS questionnaire (a translated and approved version in Romania) at varying time intervals relative to the traumatic event. The questionnaire was developed in accordance with legal regulations of the World Health Organization and the European Union for research involving human subjects for medical purposes.

Negative Factors Influencing Multiple-Trauma Patients.

Background And Objectives: This study aimed to assess the impact and predicted outcomes of patients with multiple trauma by identifying the prevalence of trauma sustained and associated complications.

Materials And Methods: This retrospective cohort study focused on individual characteristics of patients with multiple trauma admitted to our County Emergency Hospital. The final table centralized the characteristics of 352 subjects aged between 3 and 93 years who presented with multiple trauma from 2015 to 2021.