Christine Allen, Vikas Kumar, Josie Elwell, Steven Overman, Bradley S Schoch, William Aibinder, Moby Parsons, Jonathan Watling, Jiawei Kevin Ko, Bruno Gobbato, Thomas Throckmorton, Howard Routman, Christopher P Roche
INTRODUCTION: Machine Learning (ML) based clinical decision support tools (CDST) make personalized predictions for different treatments; by comparing predictions of multiple treatments, these tools can be used to optimize decision making for a particular patient. However, CDST prediction accuracy varies for different patients and also for different treatment options. If these differences are sufficient large and consistent for a particular subcohort of patients, then that bias may result in those patients not receiving a particular treatment...
September 11, 2023: Journal of Shoulder and Elbow Surgery