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• The BUSD-Agent framework improves average screening specificity by 68.48%.result 70%
• The BUSD-Agent framework improves diagnostic specificity by 6.33%.result 70%
• The BUSD-Agent framework reduces diagnostic escalation from 84.95% to 58.72% compared to a baseline without trajectory conditioning.result 70%
• The BUSD-Agent framework reduces overall biopsy referrals from 59.50% to 37.08% compared to a baseline without trajectory conditioning.result 70%
• BUSD-Agent enables retrieval-conditioned in-context adaptation that dynamically adjusts model trust and escalation thresholds from prior experiences without parameter updates.technical 70%
• The proposed framework models screening and diagnosis as a two-stage, selective decision-making process.method 70%
• The system could replace existing diagnostic triage systems that lack adaptive learning.market 70%
• Potential limitations include dependency on the quality of historical data.limitation 70%

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