Understanding Artificial Intelligence and Predictive Analytics: A Clinically Focused Review of Machine Learning Techniques

Brian Cho, Eric Geng, Varun Arvind, Aly A. Valliani, Justin E. Tang, John Schwartz, Calista Dominy, Samuel K. Cho, Jun S. Kim

Research output: Contribution to journalReview articlepeer-review

8 Scopus citations

Abstract

Machine learning and artificial intelligence have seen tremendous growth in recent years and have been applied in numerous studies in the field of orthopaedics. Machine learning will soon become critical in the day-to-day operations of orthopaedic practice; therefore, it is imperative that providers become accustomed to and familiar with not only the terminology but also the fundamental techniques behind the technology. A foundation of knowledge regarding machine learning is critical for physicians so they can begin to understand the details in the algorithms that are being developed, which provide improved accuracy compared with clinicians, decreased time required, and a heightened ability to triage patients.

Original languageEnglish
Article numbere21
JournalJBJS Reviews
Volume10
Issue number3
DOIs
StatePublished - 18 Mar 2022

Fingerprint

Dive into the research topics of 'Understanding Artificial Intelligence and Predictive Analytics: A Clinically Focused Review of Machine Learning Techniques'. Together they form a unique fingerprint.

Cite this