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Prioritizing Data Quality Governance for AI in Prostate Cancer: A Methodological Proof-of-Concept Using Neural Networks for Risk Stratification

2026-03-17

Abstract excerpt

<h4>Background: </h4> An accurate D’Amico risk stratification is mandatory for prostate cancer (PCa) management. The purpose of this proof-of-concept study was to establish a methodological framework of integrating validated clinical nomograms with strict data-quality governance in order to generate reliable artificial neural networks (ANN), even when the sample is small. <h4>Methods:</h4> We performed a retrospec...

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Literature Corpus work
d2e99427-d5c5-5798-939f-b8a7423ea9fc
DOI
10.20944/preprints202603.1207.v1
Open publication

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Prioritizing Data Quality Governance for AI in Prostate Cancer: A Methodological Proof-of-Concept Using Neural Networks for Risk StratificationDOI 10.20944/preprints202603.1207.v1
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