Reliability of the artificial intelligence (ChatGPT) in the management of tibial plateau fracture

Published: 5 March 2025| Version 1 | DOI: 10.17632/46ff95x62f.1
Contributors:
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, Francisco Rivas-Ruiz,

Description

The database is designed to analyze the concordance in the radiographic interpretation of tibial plateau fractures among three groups of evaluators: orthopedic and trauma surgeons (3), residents in training (3), and an artificial intelligence model (ChatGPT 4.0). The objective is to compare diagnostic accuracy and fracture classification in relation to a gold standard based on advanced imaging studies such as computed tomography (CT).

Files

Steps to reproduce

The anonymized database contains the classification of fracture presence and severity (grades 1-6) according to the gold standard (CT), along with the assessments from three medical residents and three attending physicians.

Institutions

Categories

Artificial Intelligence, Fracture, Clinical Decision Support System, Traumatology

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