Publications by authors named "T Gehlen"
The 3.5 mm diameter or thicker Steinmann pins were commonly used in skeletal traction, which are so highly invasive that may result in severe complications such as pin tract infection and iatrogenic calcaneus fractures. Accordingly, Xirui Wu designed a new type of tension traction bow that can be assembled with 2.
View Article and Find Full Text PDFBackground: Social media (SM) has been recognized as a professional communication tool in the field of orthopedic and trauma surgery that can enhance communication with patients and peers, and increase the visibility of research and offered services. The specific purposes of professional SM use and the benefits and concerns among orthopedic and trauma surgeons, however, remain unexplored.
Objective: This study aims to demonstrate the specific uses of different SM platforms among orthopedic and trauma surgeons in Germany as well as the advantages and concerns.
Background: Social media (SM) has gained importance in the health care sector as a means of communication and a source of information for physicians and patients. However, the scope of professional SM use by orthopedic and trauma surgeons remains largely unknown.
Objective: This study presents an overview of professional SM use among orthopedic and trauma surgeons in Germany in terms of the platforms used, frequency of use, and SM content management.
Background: In the context of the COVID-19 pandemic, video consultations have gained importance in orthopaedic and traumatological departments. In current literature, different adaptations of classic joint and functional examinations have been described for the virtual examination.
Methodology: A systematic review of current literature on adaptations for the virtual joint and functional examination in orthopaedics and trauma surgery was performed over PubMed (January 2010 to April 2021).
Article Synopsis
- Treating severely injured patients involves quick, complex decisions, often leading to procedural errors despite team experience; this study explores how machine learning (ML) can improve initial management by analyzing past data patterns.
- A systematic review of literature was conducted, excluding small studies, to identify effective ML applications in acute patient management, categorizing them into prediction groups like injury patterns and mortality.
- From 36 relevant articles, which included over 18.5 million patients, the review found that most ML models had positive outcomes in predicting mortality, suggesting promising results for better decision-making in trauma care.