The paper proposes MindGap, an on-device AI framework using dependent origination to guide PTSD patients through progressive observation layers for upstream neuroplastic intervention rather than downstream symptom management.
Proof- of-tbi–fine-tuned vision language model consortium and openai-o3 rea- soning llm-based medical diagnosis support system for mild traumatic brain injury (tbi) prediction
5 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
years
2026 5verdicts
UNVERDICTED 5roles
background 2polarities
background 2representative citing papers
A neurocognitive governance model formalizes a Pre-Action Governance Reasoning Loop that consults global, workflow, agent, and situational rules before each action, yielding 95% compliance accuracy with zero false escalations in a retail supply-chain implementation.
The paper introduces an agentic AI platform to train and support recovered soldiers as peer facilitators providing mental health triage and interventions in austere battlefield environments.
A cross-platform mobile application deploys an ensemble of quantized open-source LLMs for fully local, DSM-5-aligned psychiatric decision support with claimed accuracy comparable to prior cloud versions.
Flowr is an agentic AI framework that decomposes retail supply chain workflows into coordinated LLM-based agents with human-in-the-loop oversight to automate operations in large supermarket chains.
citing papers explorer
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MindGap: A Conversational AI Framework for Upstream Neuroplastic Intervention in Post-Traumatic Stress Disorder
The paper proposes MindGap, an on-device AI framework using dependent origination to guide PTSD patients through progressive observation layers for upstream neuroplastic intervention rather than downstream symptom management.
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Think Before You Act -- A Neurocognitive Governance Model for Autonomous AI Agents
A neurocognitive governance model formalizes a Pre-Action Governance Reasoning Loop that consults global, workflow, agent, and situational rules before each action, yielding 95% compliance accuracy with zero false escalations in a retail supply-chain implementation.
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Train the Trainers -- An Agentic AI Framework for Peer-Based Mental Health Support in Battlefield Environments
The paper introduces an agentic AI platform to train and support recovered soldiers as peer facilitators providing mental health triage and interventions in austere battlefield environments.
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Toward Zero-Egress Psychiatric AI: On-Device LLM Deployment for Privacy-Preserving Mental Health Decision Support
A cross-platform mobile application deploys an ensemble of quantized open-source LLMs for fully local, DSM-5-aligned psychiatric decision support with claimed accuracy comparable to prior cloud versions.
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Flowr -- Scaling Up Retail Supply Chain Operations Through Agentic AI in Large Scale Supermarket Chains
Flowr is an agentic AI framework that decomposes retail supply chain workflows into coordinated LLM-based agents with human-in-the-loop oversight to automate operations in large supermarket chains.