Deep learning-assisted diagnosis of femoral trochlear dysplasia based on magnetic resonance imaging measurements

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World Journal of Clinical Cases

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2307-8960

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

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World J Clin Cases. Mar 6, 2023; 11(7): 1477-1487
Published online Mar 6, 2023. doi: 10.12998/wjcc.v11.i7.1477

Table 3 Diagnostic effect of junior doctors, intermediate doctors and artificial intelligence models

Group	Sensitivity	Specificity	Positive predictive value	Negative predictive value	Accuracy	AUC	Kappa
Junior doctor	0.65	0.92	0.86	0.76	0.80	0.79	0.58
Intermediate doctor	0.63	0.96	0.93	0.75	0.81	0.79	0.60
Artificial intelligence model	0.79	0.96	0.94	0.84	0.88	0.88	0.76

AUC: Area under curve.

Citation: Xu SM, Dong D, Li W, Bai T, Zhu MZ, Gu GS. Deep learning-assisted diagnosis of femoral trochlear dysplasia based on magnetic resonance imaging measurements. World J Clin Cases 2023; 11(7): 1477-1487
URL: https://www.wjgnet.com/2307-8960/full/v11/i7/1477.htm
DOI: https://dx.doi.org/10.12998/wjcc.v11.i7.1477

Xu SM, Dong D, Li W, Bai T, Zhu MZ, Gu GS. Deep learning-assisted diagnosis of femoral trochlear dysplasia based on magnetic resonance imaging measurements. World J Clin Cases 2023; 11(7): 1477-1487 [PMID: 36926411 DOI: 10.12998/wjcc.v11.i7.1477]

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