Machine learning or morphometric scaling? a systematic review of methodological confounds and the generalizability of sex classification in neuroimaging

Background: This systematic review critically evaluates whether machine learning (ML) identifies biologically meaningful sex-related brain architecture or merely exploits methodological artifacts and allometric scaling. While ML models achieve high classification accuracies, it remains unclear if...

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Bibliographic Details

Main Authors:	Sapuan, Abdul HaliM, Jamaludin, Iqbal, Abdul Majid, Zafri Azran, Mohd Tamrin, Mohd Izzuddin, Che Azemin, Mohd Zulfaezal, Turaev, Sherzod
Format:	Article
Language:	en
Published:	Open Exploration Publishing Inc. 2026
Subjects:	QM Human anatomy
Online Access:	https://irep.iium.edu.my/128056/13/128056_Machine%20learning%20or%20morphometric%20scaling.pdf https://irep.iium.edu.my/128056/ https://www.explorationpub.com/Journals/ent/Article/1004141
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