Machine learning and conventional statistics: making sense of the differences

Christophe Ley*, R. Kyle Martin, Ayoosh Pareek, Andreas Groll, Romain Seil, Thomas Tischer

*Corresponding author for this work

Research output: Contribution to journalEditorial

41 Citations (Scopus)


The application of machine learning (ML) to the field of orthopaedic surgery is rapidly increasing, but many surgeons remain unfamiliar with the nuances of this novel technique. With this editorial, we address a fundamental topic—the differences between ML techniques and traditional statistics. By doing so, we aim to further familiarize the reader with the new opportunities available thanks to the ML approach.

Original languageEnglish
Pages (from-to)753-757
Number of pages5
JournalKnee Surgery, Sports Traumatology, Arthroscopy
Issue number3
Early online date2 Feb 2022
Publication statusPublished - Mar 2022


  • Artificial intelligence
  • Machine learning
  • Orthopaedic surgery
  • Sports medicine
  • Statistics


Dive into the research topics of 'Machine learning and conventional statistics: making sense of the differences'. Together they form a unique fingerprint.

Cite this