NeuroVista Nexus: A Unified AI-AR Platform for Real-Time Multimodal Radiology and Interventional Guidance – A Theoretical Blueprint

NeuroVista Nexus is an integrated, cloud-native platform proposed to revolutionize diagnostic and interventional radiology using real-time multimodal imaging, AI-driven segmentation, and augmented reality (AR). It unifies imaging silos through a vendor-neutral architecture and embeds intelligent automation for enhanced accuracy and speed. The platform features containerized AI services, AR-guided intervention, open interoperability (DICOMweb, HL7-FHIR), and compliance with IEC 62304 and ISO 13485. With a federated learning approach and explainable AI outputs, it enables sub-second insights and global tele-collaboration. This blueprint outlines its architecture, regulatory roadmap, and pilot deployment strategy for academic and industrial co-development.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-16
DOI
https://doi.org/10.5281/zenodo.15442976
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

NeuroVista Nexus: A Unified AI-AR Platform for Real-Time Multimodal Radiology and Interventional Guidance – A Theoretical Blueprint

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

NeuroVista Nexus: A Unified AI-AR Platform for Real-Time Multimodal Radiology and Interventional Guidance – A Theoretical Blueprint

article en

Abstract

NeuroVista Nexus is an integrated, cloud-native platform proposed to revolutionize diagnostic and interventional radiology using real-time multimodal imaging, AI-driven segmentation, and augmented reality (AR). It unifies imaging silos through a vendor-neutral architecture and embeds intelligent automation for enhanced accuracy and speed. The platform features containerized AI services, AR-guided intervention, open interoperability (DICOMweb, HL7-FHIR), and compliance with IEC 62304 and ISO 13485. With a federated learning approach and explainable AI outputs, it enables sub-second insights and global tele-collaboration. This blueprint outlines its architecture, regulatory roadmap, and pilot deployment strategy for academic and industrial co-development.

Zenodo (CERN European Organization for Nuclear Research)
Punjab Medical College (PK)
Industry, innovation and infrastructure
Openalex Percentile: Top 60%
Artificial Intelligence in Healthcare and Education
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