Background A core tenet of total knee arthroplasty (TKA) is that achieving more natural
kinematics will lead to superior patient outcomes. Yet this relationship has not been proven …

The current work introduces a system for fully automatic tracking of native glenohumeral
kinematics in stereo-radiography sequences. The proposed method first applies …

The practice of hip and knee arthroplasty has morphed since the turn of the century, as
arthroplasty surgeons have been eager to adopt new technologies in attempts to …

2D-3D registration of native anatomy in dynamic stereo-radiography is a fundamental task in
orthopaedics methods that facilitates understanding of joint-level movement. Registration is …

Kinematic tracking of native anatomy from stereo-radiography provides a quantitative basis
for evaluating human movement. Conventional tracking procedures require significant …

Recent advancements in computer vision and machine learning enable autonomous
measurement of total knee arthroplasty kinematics through single-plane fluoroscopy …

The increasing rate of minimally invasive procedures and the growing prevalence of
cardiovascular disease have led to a demand for higher-quality guidance systems for …

Background Artificial intelligence has demonstrated utility in orthopedic research.
Algorithmic models derived from machine learning have demonstrated adaptive learning …

One common method to determine tibiofemoral kinematics following total knee replacement
(TKR) is to capture single-plane fluoroscopic images of a patient activity and determine …

Precise measurement of joint-level motion from stereo-radiography facilitates understanding
of human movement. Conventional procedures for kinematic tracking require significant …