May 16, 2024: TECHNICAL MEETING, Dr. Tran Quoc Long (Institute for Artificial Intelligence, UET), How Healthcare Systems in Vietnam Work

Vietnam’s healthcare system is a unique amalgamation of public and private sectors, designed to provide comprehensive care to its diverse population. This talk aims to elucidate the structure, function, and challenges of the Vietnamese healthcare system, with a special focus on the integration of artificial intelligence (AI) into healthcare practices. We will explore the historical evolution of healthcare in Vietnam, the roles of various governmental and non-governmental organizations, and the strategies implemented to achieve universal health coverage. Emphasis will be placed on primary healthcare, rural healthcare accessibility, and the integration of traditional medicine with modern medical practices.

Speaker: Dr. Tran Quoc Long, Institute for Artificial Intelligence, UET

Time: 10:40 – 11:00, Thursday, May 16, 2024

Venue: Room 212 E3, 144 Xuan Thuy, Cau Giay, Hanoi

Dr. Tran Quoc Long graduated from the Georgia Institute of Technology with a major in Machine Learning and Computer Science. His research has focused on developing innovative machine learning methods for real-world applications in image processing and signal analysis. Notably, he has worked on medical and biological data analytics, identifying and verifying distinctive data features for the early detection of prostate cancer and ovarian cancer using mass-spectrum analysis of blood serum. Additionally, he developed a machine learning method for the accurate prediction of optimal cancer drug therapies. Currently, his AI lab collaborates with cardiologists at the Vietnam National Heart Institute on AI approaches for echocardiography diagnosis, yielding promising initial results..

This technical meeting is jointly organized with the Institute for Artificial Intelligence