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New AI system analyzes coughs in real-time for healthcare

By PulseAugur Editorial · [1 sources] ·

Researchers have developed HealthCUES, a real-time system designed to analyze respiratory signals from spoken conversations for healthcare applications. Unlike previous systems that discard coughs as noise, HealthCUES identifies and classifies cough types, estimates their duration, and differentiates them from throat clearing. The system utilizes the Qwen3Omni multimodal large language model and achieves high accuracy in detection and classification, with low latency, making it suitable for telehealth workflows. AI

IMPACT Enables real-time, nuanced respiratory health monitoring in conversational AI, potentially improving telehealth diagnostics.

RANK_REASON Academic paper detailing a new AI system for healthcare applications. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New AI system analyzes coughs in real-time for healthcare

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Academic paper detailing a new AI system for healthcare applications. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Tanmay Laud, Herprit Mahal, Subhabrata Mukherjee ·

    From Sound to Symptom: Real-Time Respiratory Signal Understanding for Conversational Healthcare Agents

    arXiv:2608.26163v1 Announce Type: cross Abstract: Cough events during live spoken conversations carry clinically valuable respiratory signals, yet existing dialogue systems treat them as acoustic noise to be discarded. We present HealthCUES (Clinical Understanding from Embodied S…

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