Artificial intelligence (AI) in medicine is a rapidly growing field. In orthopedics, the clinical
implementations of AI have not yet reached their full potential. Deep learning algorithms …

While musculoskeletal imaging volumes are increasing, there is a relative shortage of
subspecialized musculoskeletal radiologists to interpret the studies. Will artificial intelligence …

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 …

Abstract Background The Coronal Plane Alignment of the Knee (CPAK) classification allows
for knee phenotyping which can be used in preoperative planning prior to total knee …

Objectives Accurate assessment of knee alignment and leg length discrepancy is currently
measured manually from standing long-leg radiographs (LLR), a process that is both time …

Purpose External validation of machine learning predictive models is achieved through
evaluation of model performance on different groups of patients than were used for …

During clinical evaluation of patients and planning orthopedic treatments, the periodic
assessment of lower limb alignment is critical. Currently, physicians use physical tools and …

Background: Clinical tools based on machine learning analysis now exist for outcome
prediction after primary anterior cruciate ligament reconstruction (ACLR). Relying partly on …

Purpose The purpose of this study was to evaluate the reliability of a newly developed AI-
algorithm for the evaluation of long leg radiographs (LLR) after total knee arthroplasties …

Purpose The aim of this study was to investigate the performance of an artificial intelligence
(AI)-based software for fully automated analysis of leg alignment pre-and postoperatively …