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New AI frameworks CANOE and CoPlan enhance care planning transparency

By PulseAugur Editorial · [4 sources] ·

Researchers have introduced two novel AI frameworks, CANOE and CoPlan, designed to enhance transparency and safety in complex care plan coordination. CANOE, a multi-agent neuro-symbolic system, utilizes an argumentative approach where specialized agents generate and contest interventions, allowing for human-in-the-loop refinement. CoPlan offers a co-intelligent interface that enables human care planners to inspect, challenge, and revise AI-generated recommendations, preserving human agency in decision-making. Both systems aim to improve the synthesis of diverse clinical, functional, and psychosocial information for more trustworthy and accountable care planning. AI

IMPACT These frameworks could improve the trustworthiness and human oversight of AI in critical decision-making processes like healthcare planning.

RANK_REASON The cluster contains two arXiv papers describing novel AI frameworks for care planning.

Read on arXiv cs.MA (Multiagent) →

AI-generated summary · Google Gemini · from 4 sources. How we write summaries →

New AI frameworks CANOE and CoPlan enhance care planning transparency

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The cluster contains two arXiv papers describing novel AI frameworks for care planning.
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4 independent sources
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paper, product
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51 days old
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COVERAGE [4]

  1. arXiv cs.AI TIER_1 English(EN) · Truong Thanh Hung Nguyen, Hoang-Loc Cao, Phuc Ho, Phuc Truong Loc Nguyen, Ren\'e Richard, Hung Cao ·

    Adaptive Arena-based Contestable Argumentative Network-of-Experts for Open-Ended Care Plan Coordination

    arXiv:2608.05391v1 Announce Type: new Abstract: Care plan coordination demands synthesizing heterogeneous clinical, functional, and psychosocial information across multiple professional disciplines, where monolithic LLM pipelines cannot perform in a transparent or safe manner. We…

  2. arXiv cs.AI TIER_1 English(EN) · Hung Truong Thanh Nguyen, H\'el\`ene Fournier, Piper Jackson, Makoto Itoh, Shannon Freeman, Rene Richard, Hung Cao ·

    CoPlan: A Trustworthy Co-Intelligence Interface for Care Planning through Role-Based Contestable Argument Graphs

    arXiv:2608.05107v1 Announce Type: new Abstract: AI-supported care planning can help clinicians, patients, caregivers, and care teams coordinate complex decisions across clinical, functional, psychosocial, and environmental needs. However, many AI systems present recommendations a…

  3. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Hung Cao ·

    Adaptive Arena-based Contestable Argumentative Network-of-Experts for Open-Ended Care Plan Coordination

    Care plan coordination demands synthesizing heterogeneous clinical, functional, and psychosocial information across multiple professional disciplines, where monolithic LLM pipelines cannot perform in a transparent or safe manner. We present CANOE (Contestable Argumentative Networ…

  4. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Hung Cao ·

    CoPlan: A Trustworthy Co-Intelligence Interface for Care Planning through Role-Based Contestable Argument Graphs

    AI-supported care planning can help clinicians, patients, caregivers, and care teams coordinate complex decisions across clinical, functional, psychosocial, and environmental needs. However, many AI systems present recommendations as fixed outputs, limiting stakeholders' ability …

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