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

doi:10.12998/wjcc.v11.i7.1477

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World Journal of Clinical Cases

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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 7 Intragroup correlation coefficient and 95% confidence interval of the two measurements before and after for junior doctors, intermediate doctors and artificial intelligence model

Group	Trochlear depth (mm)	Asymmetry of the facet length	Lateral trochlear inclination (°)
Junior doctor	0.93 (0.89-0.95)^a	0.71 (0.60-0.80)^a	0.90 (0.85-0.93)^a
Intermediate doctor	0.92 (0.88-0.95)^a	0.62 (0.47-0.73)^a	0.89 (0.84-0.93)^a
Artificial intelligence model	1.00 (1.00-1.00)^a	1.00 (1.00-1.00)^a	1.00 (1.00-1.00)^a

^aP < 0.001.

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