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Enhancing Clinical Utility of AI Models in Polycystic Ovary Syndrome (PCOS): Integrating Staged Modelling with uncertainty aware Triage and Conformal Prediction for Cost-Efficient Risk Stratification

2025-10-28

Abstract excerpt

In this study we develop a deployable, cost-aware pipeline for PCOS risk stratification that unifies staged modelling, calibration, decision-theoretic evaluation and uncertainty-aware prediction. Stage 1 models use low-cost clinical variables for screening, while Stage 2 augments these with confirmatory laboratory and ultrasound features. We evaluate accuracy, discrimination and uncalibrated probability quality (A...

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Literature Corpus work
4ee30271-28e9-5582-afa9-3cee1cad72dc
DOI
10.1101/2025.10.27.25338898
Open publication

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Enhancing Clinical Utility of AI Models in Polycystic Ovary Syndrome (PCOS): Integrating Staged Modelling with uncertainty aware Triage and Conformal Prediction for Cost-Efficient Risk StratificationDOI 10.1101/2025.10.27.25338898
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