2023 AOSSM Annual Meeting Recordings with CME-Reviewing Machine Learning Manuscripts: Are They Really that Different?

Reviewing Machine Learning Manuscripts: Are They Really that Different?

Video Transcription

Video Summary

The speaker discusses the use of machine learning in research and the potential benefits and challenges. They emphasize the importance of understanding the basics of machine learning and how it can be applied to various fields, including orthopedic research. They explain that machine learning is focused on prediction and can be used to improve accuracy in forecasting certain outcomes. The speaker also highlights the need for external validation to assess the performance of machine learning models on new datasets. Additionally, they mention the importance of incorporating clinical expertise when reviewing machine learning papers, as clinicians can provide valuable insights into the practicality and usefulness of the predictions. The speaker recommends using freely available online calculators to apply machine learning models to real-world scenarios. However, they note that there are still some challenges and limitations in the field, including the interpretability of models and the need for more validation studies. Overall, the speaker provides a comprehensive overview of machine learning and its application in research.

Asset Caption

David C. Landy, MD, PhD

Keywords

machine learning

research

benefits

challenges

orthopedic research

prediction

accuracy

clinical expertise