The application of machine learning (ML) to the field of orthopaedic surgery is rapidly
increasing, but many surgeons remain unfamiliar with the nuances of this novel technique …

The application of artificial intelligence (AI) and machine learning to the field of orthopaedic
surgery is rapidly increasing. While this represents an important step in the advancement of …

Supervised learning is the most common form of machine learning utilized in medical
research. It is used to predict outcomes of interest or classify positive and/or negative cases …

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 and machine learning in orthopaedic surgery has gained mass interest
over the last decade or so. In prior studies, researchers have demonstrated that machine …

Purpose To determine what subspecialties have applied machine learning (ML) to predict
clinically significant outcomes (CSOs) within orthopaedic surgery and to determine whether …

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: Statistical models using machine learning (ML) have the potential for more
accurate estimates of the probability of binary events than logistic regression. The present …

Abstract Machine learning (ML) studies are becoming increasingly popular in orthopedics
but lack a critically appraisal of their adherence to peer‐reviewed guidelines. The objective …

The practice of medicine is rapidly transforming as a result of technological breakthroughs.
Artificial intelligence (AI) systems are becoming more and more relevant in medicine and …