Fernando Bello

Visiting Professor of Technology Enhanced Learning and Innovation

Duke-NUS Medical School

Singapore

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About

Dr. Fernando Bello is a Visiting Professor of Technology Enhanced Learning and Innovation at Duke-NUS Medical School, Singapore. His research primarily focuses on technology acceptance in medical education, innovations in prosthetics, and the application of virtual reality in training healthcare professionals. Recent publications include studies on robotic tools for clinical examinations and the integration of adaptive neural networks in teleoperation systems.

Articles (14)

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2025

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2024

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2020

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2020

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2020

Collaborators (8)

Petar Kormushev

Imperial College London

UNITED KINGDOM

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Jo Waller

King’s College London

UNITED KINGDOM

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CHRISTOS KONTOVOUNISIOS

Imperial College London

UNITED KINGDOM

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Antonia Tzemanaki

University of Bristol

UNITED KINGDOM

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Jason Wen Yau Lee

Assistant Professor

Duke-NUS Medical School

SINGAPORE

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Myeongjin Kim

Assistant Professor

Chonnam National University

SOUTH KOREA

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Nejra van Zalk

Senior Lecturer

Imperial College London

UNITED KINGDOM

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George Jenkinson

Academic , Teaching Associate

University of Bristol

UNITED KINGDOM

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Fernando Bello

Research Interests

Explore related searches

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About

Articles (14)

Technology Acceptance Model in Medical Education: Systematic Review

Beyond Humanoid Prosthetic Hands: Modular Terminal Devices That Improve User Performance

Validation of a Tool-Based Visual Anorectal Examination Advanced Simulator for the Early Detection of Colorectal Cancer

Readiness of Health Care Professionals in Singapore to Teach Online and Their Technology-Related Teaching Needs: Quantitative Cross-sectional Pilot Study

Acceptability of Automated Robotic Clinical Breast Examination: Survey Study

The Hydra Hand: A Mode-Switching Underactuated Gripper With Precision and Power Grasping Modes

Virtual Reality Pre-Prosthetic Hand Training With Physics Simulation and Robotic Force Interaction

Multi-Shape Free-Form Deformation Framework for Efficient Data Transmission in AR-Based Medical Training Simulators

Adaptive Type-2 Fuzzy Neural-Network Control for Teleoperation Systems With Delay and Uncertainties

Taking the Pressure Off the Patient – Understanding Digital Rectal Examinations on a Real Subject

Effectiveness of technology-enhanced simulation in teaching digital rectal examination: a systematic review narrative synthesis

A Review of Training and Guidance Systems in Medical Surgery

Rehabilitation Exergames: Use of Motion Sensing and Machine Learning to Quantify Exercise Performance in Healthy Volunteers

Augmented Reality System for Digital Rectal Examination Training and Assessment: System Validation

Collaborators (8)

Petar Kormushev

Jo Waller

CHRISTOS KONTOVOUNISIOS

Antonia Tzemanaki

Jason Wen Yau Lee

Myeongjin Kim

Nejra van Zalk

George Jenkinson

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