Artificial intelligence for the classification of fractures around the knee in adults according to the 2018 AO/OTA classification system.

ABSTRACT:

Background

Fractures around the knee joint are inherently complex in terms of treatment; complication rates are high, and they are difficult to diagnose on a plain radiograph. An automated way of classifying radiographic images could improve diagnostic accuracy and would enable production of uniformly classified records of fractures to be used in researching treatment strategies for different fracture types. Recently deep learning, a form of artificial intelligence (AI), has shown promising results for interpreting radiographs. In this study, we aim to evaluate how well an AI can classify knee fractures according to the detailed 2018 AO-OTA fracture classification system.

Methods

We selected 6003 radiograph exams taken at Danderyd University Hospital between the years 2002-2

SUBMITTER: Lind A 

PROVIDER: S-EPMC8016258 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature