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Guan Yue Hong

Associate Professor

Western Michigan University

United States

Research Interests

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About

Guan Yue Hong is an Associate Professor at Western Michigan University, United States. His research encompasses areas such as deep learning applications in medical technology, human-AI symbiosis, and smart home optimization. Recent publications include works on the real-time identification of medical vials using mixed reality and the development of telemedicine systems in challenging environments.

Articles (13)

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2026

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2026

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2026

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2026

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2026

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2026

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2025

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2025

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2024

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2024

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2023

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2022

Collaborators (5)

Vitaliy Popov

University of Michigan

UNITED STATES

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Bryan Harmer

Assistant Professor

Creighton University

UNITED STATES

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Steven Carr

Professor and Chair

Western Michigan University

UNITED STATES

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Zachary Asher

Assistant Professor

Western Michigan University

UNITED STATES

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Bahar Uddin Mahmud

Assistant Professor

Lander University

UNITED STATES

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Guan Yue Hong

Research Interests

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About

Articles (13)

A Mixed-Reality Approach to Cardiovascular Anatomy Education

Assessing the Influence of a Statewide Dosing Reference Aid on Prehospital Pediatric Medication Dosing Errors: A Mixed-Methods Simulation-Based Investigation

Time to medication administration and errors using an augmented reality cognitive aid for pediatric cardiac arrests

A Simulation-Based Root Cause Analysis of Pediatric Medication Dosing Errors in Emergency Medical Services

AgriNet-Light: Unlocking the Power of Lightweight AI Models for Agriculture

Uncertainty-Aware Wound Localization and First-Aid Decision Support From Smartphone Images Using an Explainable Multimodal AI Framework</p>

Edge-Enabled Explainable Multimodal AI for Emergency Wound Assessment in Smart Ambulance IoMT Networks

Real-Time Identification of Look-Alike Medical Vials Using Mixed Reality-Enabled Deep Learning

Quantum Machine Learning System for Telesurgery Practice with Extended Reality

A Study of Human–AI Symbiosis for Creative Work: Recent Developments and Future Directions in Deep Learning

Accurate Medical Vial Identification Through Mixed Reality: A HoloLens 2 Implementation

Optimization of Power Usage in a Smart Nursing Home Environment

Self-Cognizant Prognostics for the Design and Implementation of Mission-Critical Telemedicine Systems under the Influence of Heavy Rainfall

Collaborators (5)

Vitaliy Popov

Bryan Harmer

Steven Carr

Zachary Asher

Bahar Uddin Mahmud

Make your next move.

Guan Yue Hong

Research Interests

Make your next move.

Explore related searches

About

Articles (13)

A Mixed-Reality Approach to Cardiovascular Anatomy Education

Assessing the Influence of a Statewide Dosing Reference Aid on Prehospital Pediatric Medication Dosing Errors: A Mixed-Methods Simulation-Based Investigation

Time to medication administration and errors using an augmented reality cognitive aid for pediatric cardiac arrests

A Simulation-Based Root Cause Analysis of Pediatric Medication Dosing Errors in Emergency Medical Services

AgriNet-Light: Unlocking the Power of Lightweight AI Models for Agriculture

Uncertainty-Aware Wound Localization and First-Aid Decision Support From Smartphone Images Using an Explainable Multimodal AI Framework&lt;/p&gt;

Edge-Enabled Explainable Multimodal AI for Emergency Wound Assessment in Smart Ambulance IoMT Networks

Real-Time Identification of Look-Alike Medical Vials Using Mixed Reality-Enabled Deep Learning

Quantum Machine Learning System for Telesurgery Practice with Extended Reality

A Study of Human–AI Symbiosis for Creative Work: Recent Developments and Future Directions in Deep Learning

Accurate Medical Vial Identification Through Mixed Reality: A HoloLens 2 Implementation

Optimization of Power Usage in a Smart Nursing Home Environment

Self-Cognizant Prognostics for the Design and Implementation of Mission-Critical Telemedicine Systems under the Influence of Heavy Rainfall

Collaborators (5)

Vitaliy Popov

Bryan Harmer

Steven Carr

Zachary Asher

Bahar Uddin Mahmud

Make your next move.

Uncertainty-Aware Wound Localization and First-Aid Decision Support From Smartphone Images Using an Explainable Multimodal AI Framework</p>