About

About Me

Healing with expertise, advancing with algorithms.

I am an otolaryngologist and computer science researcher working at the intersection of ENT clinical practice, medical imaging, artificial intelligence, and clinical decision support. My work focuses on developing clinically meaningful AI systems for laryngoscopy, vocal fold disease analysis, head-and-neck CT imaging, segmentation, radiomics, and explainable deep learning.

Dr. Thao Thi Phuong Dao is an ENT specialist at Thong Nhat Hospital, Ho Chi Minh City, and a PhD student in Computer Science at the University of Science, VNU-HCM. She holds a Master of Medicine in Otorhinolaryngology from the University of Medicine and Pharmacy at Ho Chi Minh City and a Master of Computer Science / ICT from the John von Neumann Institute, University of Science, VNU-HCM. Her research applies artificial intelligence across otolaryngology, radiology, gastroenterology, obstetrics, diagnostics, treatment support, and prognosis — with a focus on laryngoscopy, vocal fold disease, head-and-neck CT, segmentation, radiomics, and explainable deep learning.

Otolaryngologist, Department of Otorhinolaryngology, Thong Nhat Hospital, Ho Chi Minh City, Vietnam

PhD student in Computer Science, University of Science, Vietnam National University, Ho Chi Minh City

Journey

Education & Experience

2011 – 2017

Bachelor of Medicine

School of Medicine, Vietnam National University Ho Chi Minh City

2018 – 2020

Master of Medicine in Otorhinolaryngology

University of Medicine and Pharmacy, Ho Chi Minh City

2020 – 2023

Master of Computer Science (ICT)

John von Neumann Institute, University of Science, VNU-HCM

2021 – present

Otolaryngologist

Department of Otorhinolaryngology, Thong Nhat Hospital

2024 – present

PhD student in Computer Science

University of Science, VNU-HCM

Research Interests

Research Interests

The questions guiding the work, where medicine meets machine learning.

Medical Artificial Intelligence

Otolaryngology and Head & Neck Surgery

Laryngoscopy Image Analysis

Vocal Fold Disease Classification

Vocal Fold Lesion Detection and Segmentation

Head and Neck CT Imaging

Medical Image Segmentation

Radiomics and Deep Imaging Features

Content-Based Medical Image Retrieval

Explainable Artificial Intelligence

Vision-Language AI for ENT Endoscopy

Clinical Decision Support Systems

Mobile AI Applications in Medicine