… artificial intelligence and machine learning have garnered in orthopaedic surgery, a literature
… various machine learning algorithms across various subspecialties of orthopaedic surgery, …

… and machine learning (ML) in the orthopaedic surgery … Several recent investigations within
orthopaedic surgery have applied … to achieve CSOs may allow surgeons to better personalize …

… Artificial intelligence (AI) and machine learning (ML) are … embraced AI and ML, orthopedic
surgery has been slower to do … in the field of orthopedic surgery. The secondary objectives will …

… Background and purpose — Advancements in software and hardware have enabled the
rise of clinical prediction models based on machine learning (ML) in orthopedic surgery. Given …

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 study …

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 of …

… Machine learning (ML) is a subdivision of AI in which computers learn from data without being
explicitly programmed [2]. Deep learning (… very likely to assist orthopaedic surgeons in the …

… learning is the subset of machine learning in which labeled datasets are used to train models.
Supervised learning is the most common form of machine learning … (ie, clinical surgical …

… (ML) is a subset of AI particularly relevant to orthopaedic surgery, specifically in total joint …
what machine learning is and provide examples of its utilization within orthopaedic surgery …

… AI algorithms have been applied in orthopaedic surgery in various conditions, including
diagnosis of fractures, osteoarthritis of hip and knee, and determining the age and strength of …