Evaluation of artificial intelligence models for osteoarthritis of the knee using deep learning algorithms for orthopedic radiographs

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World Journal of Orthopedics

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2218-5836

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Study

World J Orthop. Jun 18, 2022; 13(6): 603-614
Published online Jun 18, 2022. doi: 10.5312/wjo.v13.i6.603

Table 2 Evaluation of parameters for knee osteoarthritis detection

Parameter
Accuracy	Determines the accuracy of the standalone model inaccuracy to detect the presence of KOA and its classification in the input image
Precision	True positive/true positive + false positive
Recall	True positive/true positive + false negative
Loss	Determines the loss of the model

KOA: Knee osteoarthritis.

Citation: Tiwari A, Poduval M, Bagaria V. Evaluation of artificial intelligence models for osteoarthritis of the knee using deep learning algorithms for orthopedic radiographs. World J Orthop 2022; 13(6): 603-614
URL: https://www.wjgnet.com/2218-5836/full/v13/i6/603.htm
DOI: https://dx.doi.org/10.5312/wjo.v13.i6.603

Tiwari A, Poduval M, Bagaria V. Evaluation of artificial intelligence models for osteoarthritis of the knee using deep learning algorithms for orthopedic radiographs. World J Orthop 2022; 13(6): 603-614 [PMID: 35949704 DOI: 10.5312/wjo.v13.i6.603]

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