Open AccessBony Resection Outliers: Insights from 10,144 Clinical Cases using A Contemporary Computer-Assisted Total Knee Arthroplasty System
Author(s) -
Yifei Dai,
Charlotte Bolch,
Siyuan Gao,
A. Jung,
C Hamad
Publication year - 2019
Publication title -
epic series in health sciences
Language(s) - English
Resource type - Conference proceedings
ISSN - 2398-5305
DOI - 10.29007/bwjk
Subject(s) - total knee arthroplasty , resection , outlier , computer science , arthroplasty , software , artificial intelligence , surgery , medicine , programming language
This study accessed the alignment outliers of intraoperatively measured bony resection during total knee arthroplasty on 10,144 cases performed using a modern CAOS system. The impacts from geographic regions, surgeon’s adoption of the technology (learning or proficient phases), and historical progression of the CAOS application (software versions) were evaluated. The comprehensive analysis demonstrated that the CAOS system is a robust and accurate solution to assist the surgeons to achieve his/her surgical resection goals across its application history.