Open AccessWhat Are the Applications and Limitations of Artificial Intelligence for Fracture Detection and Classification in Orthopaedic Trauma Imaging? A Systematic Review
Author(s) -
David W. G. Langerhuizen,
Stein J. Janssen,
Wouter H. Mallee,
Michel P.J. van den Bekerom,
David Ring,
Gino M. M. J. Kerkhoffs,
Ruurd L. Jaarsma,
Job N. Doornberg
Publication year - 2019
Publication title -
clinical orthopaedics and related research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.178
H-Index - 204
eISSN - 1528-1132
pISSN - 0009-921X
DOI - 10.1097/corr.0000000000000848
Subject(s) - medicine , artificial intelligence , receiver operating characteristic , machine learning , fracture (geology) , systematic review , ankle , medline , computer science , surgery , geotechnical engineering , law , political science , engineering
Artificial-intelligence algorithms derive rules and patterns from large amounts of data to calculate the probabilities of various outcomes using new sets of similar data. In medicine, artificial intelligence (AI) has been applied primarily to image-recognition diagnostic tasks and evaluating the probabilities of particular outcomes after treatment. However, the performance and limitations of AI in the automated detection and classification of fractures has not been examined comprehensively.