Healthcare systems worldwide generate vast amounts of data from many different sources.
Although of high complexity for a human being, it is essential to determine the patterns and …

Background Describe and evaluate the methodological conduct of prognostic prediction
models developed using machine learning methods in oncology. Methods We conducted a …

There is increased interest in the use of prediction models to guide clinical decision-making
in orthopedics. Prediction models are typically evaluated in terms of their accuracy …

The number of patients with bone metastasis increases as medical management and
surgery improve the overall survival of patients with cancer. Bone metastasis can cause …

Objectives In biomedical research, spin is the overinterpretation of findings, and it is a
growing concern. To date, the presence of spin has not been evaluated in prognostic model …

The spine is a frequent location for metastatic disease. As local control of primary tumor
pathology continues to improve, survival rates improve and, by extension, the opportunity for …

Artificial Intelligence (AI) in general, and Machine Learning (ML)-based applications in
particular, have the potential to change the scope of healthcare, including orthopaedic …

Background In the United States, national guidelines suggest that aggressive cancer care
should be avoided in the final months of life. However, guideline compliance currently …

Background Patient satisfaction after primary anatomic and reverse total shoulder
arthroplasty (TSA) represents an important metric for gauging patients' perception of their …

Spinal metastases are an increasing societal health burden secondary to improvements in
systemic therapy. Estimates indicate that 100,000 or more people have symptomatic spine …