Prof. Dr. Charturong Tantibundhit
Center of Excellence in Nexus in Advanced Intelligence in Law, Engineering, and Medicine (Nail’Em), Thammasat University
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Abstract
GlauCUTU: Glaucoma Screening System
The GlauCUTU project aims to develop a glaucoma screening system utilizing artificial intelligence (AI) and virtual reality (VR) technologies to enhance diagnostic efficiency and improve access to screening for the general public. The project involves several key developments, including the development of the GlauCUTU-DATA dataset for training deep learning models namely GlauCUTU-AI, which incorporates data augmentation techniques based on expert ophthalmologist recommendations to ensure accurate screening for glaucoma and glaucoma-suspect cases.One of the project’s key innovations is the development of GlauCUTU-webXR software, designed for glaucoma screening through VR headsets such as PICO 4 and Meta Quest Pro, enabling widespread public access to diagnostic services. Additionally, the deep learning models have been engineered to achieve a sensitivity, specificity, and accuracy rate of at least 95% for glaucoma screening and 90% for identifying glaucoma suspects.The project has also conducted a pilot study with 68 volunteers at King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, to evaluate the system’s performance in diagnosing glaucoma across three severity levels. The results were compared with current medical standards using the HFA™ device, ensuring that the developed system meets or exceeds the precision of existing diagnostic tools.Furthermore, the GlauCUTU-AI and GlauCUTU-webXR systems are integrated with a chatbot service on the LINE platform under the name @glaucutu, allowing the general public to perform self-screening for glaucoma. The system is designed to comply with PDPA regulations to ensure data security, and it undergoes continuous optimization based on user feedback from real-world applications.Ultimately, this project aspires to develop a highly efficient and secure tool for glaucoma screening, with the potential to detect the disease in its early stages, alleviate the burden on healthcare professionals, and improve the long-term quality of life for glaucoma patients.
Short biography
Professor Charturong Tantibundhit received his B.E. degree in Electrical Engineering from Kasetsart University, Bangkok, Thailand, in 1996, and both his M.S. degree in Information Science and Ph.D. degree in Electrical Engineering from the University of Pittsburgh, PA, USA, in 2001 and 2006, respectively. Since 2006, he has been with Thammasat University, Thailand, where he is currently a Professor in the Department of Electrical and Computer Engineering and the Founder and Founding Director of the Center of Excellence in Nexus for Advanced Intelligence in Law, Engineering, and Medicine (Nail'Em). From 2013 to 2024, he served as Head of the Speech and Language Technology Cluster at the Center of Excellence in Intelligence Informatics, Speech and Language Technology, and Service Innovation (CILS). From 2007 to 2008, he was a Postdoctoral Researcher at the Signal Processing and Speech Communication Laboratory (SPSC) at Graz University of Technology, Austria. His research interests include artificial intelligence for medical screening and diagnosis, with a focus on computer vision, speech signal processing, and natural language processing. Dr. Tantibundhit was the winner of the IEEE ICASSP Student Paper Contest in 2006. In 2017, he led a team that won the Grand Prix at the 45th International Exhibition of Inventions of Geneva.
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