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Artificial Intelligence

Artificial Intelligence Scientific Session 2

The use of computer learning to predict sonographer burnout status

Tuesday, April 9, 2024
11:17am – 11:25am  
Location: 412
Authors: Jennifer Bagley, The University of Oklahoma Health Sciences Center
Danielle Amos, Oklahoma Children's Hospital
Jonathan Baldwin, University of Oklahoma
Is your sonographer burned out and considering leaving the profession? This abstract will inform you of how computer learning can be used to create a profile of the burned out sonographer based on the Oldenburg Burnout Inventory, sonographer self-reported burnout, and workplace conditions such as number of exams per day.