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Metadata Insufficiency and Reporting Deficits in Medical AI Generalization: A Meta-Research Audit Using Non-Parametric Bootstrap Resampling

2026-07-06

Abstract excerpt

<h4>Background: </h4> External validation performance drops are routinely reported in medical artificial intelligence (AI) literature, yet the study-level metadata features that systematically predict this degradation remain poorly characterised. Existing systematic reviews have catalogued performance metrics without subjecting the explanatory value of reported metadata to rigorous empirical audit. <h4>Objective:<...

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Literature Corpus work
dfb50bda-a6d1-5bcd-96d5-9b6c0b3274a1
DOI
10.20944/preprints202607.0322.v1
Open publication

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Metadata Insufficiency and Reporting Deficits in Medical AI Generalization: A Meta-Research Audit Using Non-Parametric Bootstrap ResamplingDOI 10.20944/preprints202607.0322.v1
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