AI-Assisted X-ray Fracture Detection in Residency Training: Evaluation in Pediatric and Adult Trauma Patients

AI-Assisted X-ray Fracture Detection in Residency Training: Evaluation in Pediatric and Adult Trauma Patients

<b>Background</b>: This study aimed to evaluate the impact of an AI-assisted fracture detection program on radiology residents’ performance in pediatric and adult trauma patients and assess its implications for residency training. <b>Methods</b>: This study, conducted retrosp...

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Bibliographic Details
Main Authors: Mathias Meetschen, Luca Salhöfer, Nikolas Beck, Lennard Kroll, Christoph David Ziegenfuß, Benedikt Michael Schaarschmidt, Michael Forsting, Shamoun Mizan, Lale Umutlu, René Hosch, Felix Nensa, Johannes Haubold
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Diagnostics
Subjects:
X-rays
fractures
bone
artificial intelligence
diagnostic imaging
quality improvement
Online Access:https://www.mdpi.com/2075-4418/14/6/596

Internet

https://www.mdpi.com/2075-4418/14/6/596

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