#risk-prediction News & Analysis

3 articles tagged with #risk-prediction. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBullisharXiv – CS AI · Jun 127/10

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Deployment-Centered Evaluation: Predicting Query-Level Rejection Risk in a Clinical LLM System

Researchers developed a pre-response classifier for clinical LLMs that predicts user rejection risk with 71.9% accuracy by leveraging deployment-specific context like provider type and department. This deployment-centered evaluation approach addresses a critical gap in clinical AI assessment, moving beyond static benchmarks to measure real-world user acceptance in a healthcare system.

AINeutralarXiv – CS AI · Jun 96/10

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TRIAGE: Dialectical Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series with LLMs

Researchers introduce TRIAGE, an LLM-based framework that uses dialectical reasoning to improve risk prediction on irregularly sampled medical time series data. The approach generates competing clinical outcome rationales to produce calibrated, continuous risk scores rather than overconfident binary predictions, achieving 3.3% AUPRC improvement and 81% reduction in calibration error versus baseline methods.

AINeutralarXiv – CS AI · Feb 274/105

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Early Risk Stratification of Dosing Errors in Clinical Trials Using Machine Learning

Researchers developed a machine learning framework to predict which clinical trials are likely to have high dosing error rates before the trials begin. The system analyzed 42,112 clinical trials and achieved 86.2% accuracy using a combination of structured data and text analysis, enabling proactive risk management in clinical research.