Đào Thị Phương Thảo · MD, MSc
ENT Doctor | Computer Scientist | Medical AI Researcher
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.
Otolaryngology · Medical AI
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
Two disciplines, one trajectory — from clinical medicine to computer science, each building on the last.
Read more2011 – 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
Peer-reviewed journals, conference papers, and reviews across ENT and medical AI.
Thao Thi Phuong DaoTan-Cong NguyenMinh-Khoi PhamMai-Khiem TranTrong-Le DoTrung-Nghia LeTruong Hoang VietNguyen Chi ThanhTam V. NguyenMinh-Triet TranThanh Dinh Le
Computer Methods and Programs in Biomedicine
Tan-Cong NguyenKim Anh PhungThao Thi Phuong DaoTrong-Hieu Nguyen-MauThuc Nguyen-QuangCong Nhan PhamTrung-Nghia LeJu ShenTam V. NguyenMinh-Triet Tran
Computers in Biology and Medicine
Thao Thi Phuong DaoTan-Cong NguyenTrong-Le Doet al.
MAICBR: Multimedia AI in Modern CB Retrieval — Challenges and Applications, CBMI 2025, Dublin, Ireland
Thao Thi Phuong DaoTuan-Luc HuynhMinh-Khoi PhamTrung-Nghia LeTan-Cong NguyenQuang-Thuc NguyenBich Anh TranBoi Ngoc VanChanh Cong HaMinh-Triet Tran
Journal of Imaging Informatics in Medicine
Selected research systems bridging clinical need and AI method.
Deep learning models for classification, detection, and segmentation of vocal fold lesions from flexible laryngoscopy images.
Lead researcher
Medical AI research for improving laryngoscopy image classification by integrating global information and local features.
First author
Segmentation-guided analysis of abscess, tumor, and cyst lesions in head-and-neck CT images.
Lead researcher
A medical image retrieval framework using segmentation, radiomics, and deep imaging features.
First author
This website is for academic and professional portfolio purposes and does not replace medical consultation.
Clinical Expertise