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Agentic neurotechnology: A multi-agent AI framework for next-generation dementia care
Kevin Mekulu1, Faisal Aqlan2, Hui Yang1
1Complex Systems Monitoring Modeling and Control Laboratory Pennsylvania State University University Park Pennsylvania USA.
Agentic Neurotechnology uses AI and continuous monitoring for proactive dementia care, addressing gaps in early detection and personalized support. This framework enhances cognitive care by integrating adaptive AI systems with longitudinal modeling.
Area of Science:
- Neuroscience
- Artificial Intelligence
- Digital Health
Background:
- Current dementia care tools are often episodic and disconnected from daily life, leading to missed early cognitive changes.
- There's a significant diagnostic gap for mild cognitive impairment (MCI) and a lack of continuous insights for care teams.
- Technological advancements in AI and digital biomarkers are outpacing clinical applications in dementia care.
Purpose of the Study:
- To introduce Agentic Neurotechnology, an integrated framework for proactive and individualized dementia care.
- To outline a five-layer agentic stack and the Cognitive Continuum Loop for continuous cognitive support.
- To identify actionable windows for cognitive intervention and propose a deployment pathway for agentic neurotechnologies.
Main Methods:
- Development of a five-layer agentic stack: sensing/biomarker agents, interpretation/reasoning agents, cognitive trajectory models, care navigation agents, and forecasting agents.
- Implementation of the Cognitive Continuum Loop for continuous detection, interpretation, reasoning, monitoring, intervention, and adaptation.
- Identification of three key intervention windows: Preclinical Risk Detection, MCI Detection, and Functional Instability Response.
Main Results:
- The proposed framework enables continuous, rather than isolated, assessments for dementia care.
- Agentic AI systems can operate continuously across different stages of cognitive decline.
- The framework supports proactive and individualized dementia care through integrated AI and cognitive modeling.
Conclusions:
- Agentic Neurotechnology reframes AI as an active partner in continuous cognitive care, moving beyond passive screening.
- The framework facilitates earlier detection, improved clinical efficiency, and personalized cognitive support.
- Deployment across various settings like assisted living, primary care, telehealth, and home-based care is proposed.
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