Machine learning demonstrates noninvasive prediction of aldosterone secretion in adrenal glands, indicating potential for improved diagnosis.
A machine learning model integrating radiomics and clinical features enables noninvasive prediction of adrenal aldosterone secretion function and histopathological subtypes, with preliminary evidence of generalizability in an independent external cohort.
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Zhou et al. (2026) studied this question.
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