A5012644955- Hip and Femur Fractures
- Bone health and osteoporosis research
- Cardiac, Anesthesia and Surgical Outcomes
- Artificial Intelligence in Healthcare and Education
- Bone health and treatments
- Blood transfusion and management
- Pelvic and Acetabular Injuries
- Total Knee Arthroplasty Outcomes
- Medical Imaging and Analysis
- Chronic Disease Management Strategies
- Hip disorders and treatments
- Emergency and Acute Care Studies
- Nutrition and Health in Aging
- Bone and Joint Diseases
- Hospital Admissions and Outcomes
- Trauma and Emergency Care Studies
- Orthopedic Surgery and Rehabilitation
- Autopsy Techniques and Outcomes
Zhongda Hospital Southeast University
2022-2025
Southeast University
2023-2025
Geriatric hip fractures are one of the most common in elderly individuals, and prolonged hospital stays increase risk death complications. Machine learning (ML) has become prevalent clinical data processing predictive models. This study aims to develop ML models for predicting extended length stay (eLOS) among geriatric patients with identify associated factors.To eLOS fractures, factors, compare performance each model.A retrospective was conducted at a single orthopaedic trauma centre,...
This study aims to assess the impacts of Fast Access Surgery in Emergency (FASE) strategy on (1) workflow multidisciplinary team (MDT) during hospitalization; (2) clinical outcomes geriatric femoral neck fracture (FNF) patients.
Reports show an increase in the short-term mortality rates of hip fracture patients admitted on weekends. However, there are few studies whether is a similar effect Friday admissions geriatric patients. The aim this study was to evaluate effects admission and clinical outcomes elderly with fractures.A retrospective cohort performed at single orthopaedic trauma centre included all who underwent surgery between January 2018 December 2021. Patient characteristics, including age, sex, BMI, type,...
With the exponential growth in data processing capabilities and progressive intertwining of medicine with industry, artificial intelligence (AI) has gained widespread application medical domain. Currently, AI is extensively utilized across various aspects trauma orthopedics, including fracture identification, diagnosis stratification, prevention strategies for falls fractures, emergency management, perioperative prognostic risk assessments. This study delves into research progress challenges...
To investigate the perioperative changes in serum interleukin 6 (IL-6) levels elderly male patients with intertrochanteric fractures, and provide evidence for inflammatory control this patient population.
To review the current applications of machine learning in orthopaedic trauma and anticipate its future role clinical practice.
Abstract Background The number of patients with osteoporosis or low bone mass is increasing annually. Weight loss reportedly associated and a strong predictor osteoporosis. It was still not clear the relationship between weight in elder. Methods study included 520 aged ≥65 years (178 men 342 women). Age, gender, weight, height were recorded. Femoral neck mineral density T-score investigated using dual-energy X-ray absorptiometry scanner. Blood calcium (Ca), phosphorus (P), albumin (ALB),...