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Machine Learning for the Experienced Orthopaedic Reviewer: It May Not Be as Confusing as You Think Reviewer Workshop from - July 2023 AOSSM Annual Meeting
Information

Journal Reviewers' Workshop
Machine Learning for the Experienced Orthopaedic Reviewer: It May Not Be as Confusing as You Think

This presentation is a recorded capture from Reviewer Workshop on July 13, 2023 in Washington, DC at the AOSSM Annual Meeting.

 

David C. Landy, MD, PhD
Associate Editor for Clinical Trials and Statistics, American Journal of Sports Medicine

 

Learning objectives:

1. Participants will gain an appreciation for the distinction between inference and prediction and how these concepts are related to the selection of analytic methods and presentation of results.

2. Participants will review the basics of regression and understand how newer machine learning algorithms are both similar and dissimilar from these more familiar techniques. 

3. Participants will consider how the review of research presenting the results of machine learning algorithms requires continued consideration of the surrounding clinical context.

 

ADDITIONAL INFORMATION
Accreditation

 

The American Orthopaedic Society for Sports Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

Credit Information
The American Orthopaedic Society for Sports Medicine designates this enduring material for a maximum of 0.5 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

In order to obtain AMA PRA Category 1 Credits™ participants must complete the activity and evaluation. Please note that this is an online-only activity. Participants must complete the activity and evaluation online. No hard copy submissions will be accepted.
Disclosures
FACULTY

David C. Landy, MD, PhD

American Journal of Sports Medicine: Editorial or governing board
Smith & Nephew: Paid presenter or speaker

PLANNERS


Donna Tilton
Nothing to disclose

Alexandra Campbell
Nothing to disclose

In accordance with the ACCME Standards for Integrity and Independence in Accredited Continuing Education, we have implemented measures to identify and mitigate relevant financial relationships. All individuals in control of content have disclosed their financial relationships with ineligible companies within the past 24 months. These relationships have been reviewed and mitigated.

ORIGINAL RELEASE DATE: 09/01/2023
TERMINATION DATE: 08/30/2026 
Summary
Availability: On-Demand
Expires on 08/30/2026
Cost: FREE
Credit Offered:
0.5 CME Credit
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