Technological advances continue to evolve at a breath-taking pace. Computer-navigation,
robot-assistance and three-dimensional digital planning have become commonplace in …

The use of artificial intelligence (AI) is rapidly growing across many domains, of which the
medical field is no exception. AI is an umbrella term defining the practical application of …

Purpose Artificial intelligence (AI) in healthcare is rapidly growing and offers novel options of
data analysis. Machine learning (ML) represents a distinct application of AI, which is capable …

Artificial intelligence (AI) is attracting more and more attention as a potential tool in
orthopedics. The purpose of this review is to catalogue and describe existing research in this …

Background Artificial intelligence (AI) is defined as the study of algorithms that allow
machines to reason and perform cognitive functions such as problem-solving, objects …

Background and purpose—External validation of machine learning (ML) prediction models
is an essential step before clinical application. We assessed the proportion, performance …

Purpose The number of primary total knee arthroplasties (TKA) is expected to rise
constantly. For patients and healthcare providers, the early identification of risk factors …

Background Artificial intelligence (AI) has become involved in many aspects of everyday life,
from voice-activated virtual assistants built into smartphones to global online search …

Purpose Acute kidney injury (AKI) is a deleterious complication after total knee arthroplasty
(TKA). The purposes of this study were to identify preoperative risk factors and develop a …

Background The ability to predict transfusions arising during hospital admission might
enable economized blood supply management and might furthermore increase patient …