AOSSM Specialty Day 2023 with ISAKOS - no CME-1. AOSSM-ISAKOS - Session VII

Video Transcription

Video Summary

In this video, Ron Gilat discusses an evidence-based machine learning algorithm for predicting failure following cartilage procedures in the knee. The algorithm was developed through a retrospective study that collected preoperative and intraoperative variables. The study included 1091 patients and found the ten most important features associated with failure. The random forest algorithm was found to be the best performing. The algorithm can be used to determine the best treatment option for specific patients. However, it's important to note that this study is retrospective and has limitations. Machine learning in orthopedics is discussed further in an editorial in Arthroscopy. The video concludes with a demonstration of how AI models can assist orthopedic surgeons in decision-making.

Keywords

machine learning algorithm

failure prediction

cartilage procedures

random forest algorithm

orthopedics