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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. A Proactive Multi-Agent Dialogue Framework for Assessing Social Language Disorder Traits in Autism

    Researchers have developed a novel multi-agent dialogue framework called TPA (Think, Plan, Ask) designed to proactively assess traits of Social Language Disorder (SLD) in individuals with autism. This AI system simulates a doctor agent that reasons about unobserved diagnostic traits and formulates targeted questions to elicit them from a simulated patient agent. In evaluations using real clinical data, TPA demonstrated significantly higher diagnostic efficiency and trait coverage compared to existing dialogue planning methods and even automated replays of clinician-led assessments. AI

    IMPACT This AI framework could lead to more scalable and efficient AI-assisted clinical screening for autism-related language disorders.