AINeutralarXiv – CS AI · 18h ago6/10
🧠
AeroSpectra Sentinel: An Auditable LLM Prompt-Chaining Decision-Support Workflow for Acute Asthma Risk Assessment from Respiratory Sounds and Clinical Signals
AeroSpectra Sentinel is a research prototype that combines STFT audio analysis, machine learning, and LLM prompt-chaining to assist in acute asthma risk assessment from respiratory sounds and clinical signals. Evaluated on respiratory sound datasets, the system achieved up to 91.10% binary accuracy with random forest models, while structured prompting with guardrails and FHIR validation showed strongest safety consistency in simulated clinical scenarios.