International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Volume 8 Issue 3
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An Autonomous Agent-Driven Architecture for Augmented Reality in Intelligent Healthcare Systems

Author(s) Ms. Prayukta Kute, Prof. Nilesh Joshi, Prof. Dr. Manisha Bharati
Country India
Abstract The integration of augmented reality and artificial intelligence is creating new opportunities in surgical navigation, patient supervision, and healthcare education. This study proposes a completely autonomous, agent-oriented AI framework for AR-driven medical systems, integrating fifteen specialized modules based on quantum-inspired optimization, neuromorphic computation, privacy-preserving learning, and distributed coordination mechanisms. Independent intelligent agents collaborate to provide real-time surgical assistance, rehabilitation monitoring, coordinated clinical workflow management, and immersive training simulations while maintaining differential privacy guarantees (ε = 0.3) (Dwork & Roth, 2014) alongside immutable blockchain-verified audit records (Nakamoto, 2008). The proposed platform operates at 120 FPS with only 12 ms latency, reduces power consumption by 60% using event-based neuromorphic circuitry (Kadowaki & Nishimori, 1998), and achieves anomaly-detection accuracy of 92% through transformer-driven architectures (Vaswani et al., 2017). The presented system architecture, implementation strategy, and component-level evaluation results establish a foundational framework for future intelligent augmented-reality healthcare ecosystems.
Keywords Augmented Reality (AR), Agentic Artificial Intelligence, Healthcare AI, Differential Privacy, Federated Learning, Quantum-Inspired Optimization, Neuromorphic Computing, Graph Neural Networks, Digital Twin, Explainable AI (XAI), Surgical Navigation, Transformer Networks, Swarm Intelligence, Medical Data Security, Edge Computing.
Field Engineering
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-27
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E-ISSN 2582-2160
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