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
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
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