Diagnostic accuracy of machine learning-based magnetic resonance imaging models in breast cancer classification: a systematic review and meta-analysis.

World J Surg Oncol · 2025 · PMC12153147 · PMID 40500716

Europe PMC DOI

hedged sentence

—

closest p

—

boldest claim

The sentences

did not achieve significanceno p-value reported

Subgroup analysis Following our results, the likelihood ratio test identified the MRI device as significant ( P = 0.0374), while country ( P = 0.118), field strength ( P = 0.303), breast coil ( P = 0.061), and classifier ( P = 0.081) did not achieve significance for the data type.

also in 1,397 other papers

Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.