A Comparative Study of the Clinical Laboratory Quality Control Performance of AI-PBRTQC and Traditional PBRTQC Model in Tumor Marker Testing.

Diagnostics (Basel) · 2026 · PMC13205897 · PMID 42196804

Europe PMC DOI

hedged sentences

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closest p · 1.0× alpha

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boldest claim

The sentences

a clear trendp < 0.05actually significant

In all other cases, NN-PBRTQC showed a clear trend toward reducing tANPed, with half of the cases exhibiting statistically significant differences ( p < 0.05), which demonstrated its potential for improving quality control sensitivity.

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showed a trendno p-value reported

Although the remaining items showed a trend toward clinical optimization, they did not receive statistical support due to factors such as high variability in tumor markers, testing difficulties, and significant fluctuations.

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