Article

Trustworthy LLM-Embedding Clinical Prediction: Calibrating Confidence and Transparency for Foundation Model-Based Disease Risk Scores

2026-05-19

Abstract excerpt

<title>Abstract</title> <p>Objective Clinical adoption of AI-driven disease prediction systems is constrained not by discriminative performance but by the absence of principled mechanisms for clinicians to assess prediction reliability and determine when to override model outputs. We developed and evaluated a calibrated composite trust scoring framework that integrates classifier confidence, embedding-space simi...

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Literature Corpus work: 3831a0c4-7bb8-542d-82b2-67ba0055a666
DOI: 10.21203/rs.3.rs-9728440/v1

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