PUBLISHED: 3 Does 2025 at 03: 30
A centralized electronic system made up of artificial intelligence to facilitate the analysis and lower medical differences has been released by the Ministry of Higher Education, Science, Research, and Innovation.
At a recent conference in Bangkok, Minister Supamas Isarabhakdi made the announcement. The system contains more than 2.2 million health images that have been classified into eight distinct disease categories: pulmonary, breast, eye, abdominal, skin, stroke, osteoporosis, and bone-related conditions.
These pictures serve as the foundation for developing AI designs to aid doctors in making diagnoses, particularly in underserved areas.
The Department of Medical Services, the Faculty of Medicine at Ramathibodi Hospital, the Faculty of Medicine at Chulalongkorn University, the Faculty of Medicine at Prince of Songkla University, the Faculty of Medicine at Chiang Mai University, the Faculty of Medicine at Navamindradhiraj University, and the Faculty of Medicine at Navamindradhiraj University are already a part of the Medical AI Consortium.
Ms. Supamas stated that the ministry wants more universities, researchers, and medical facilities to meet the AI ecosystem to progress and advance Thailand’s healthcare system.
More than just a information store, this platform. It provides a good foundation for Thai healthcare to implement flexible, useful AI innovations, said Ms. Supamas.
The platform was created by the National Electronics and Computer Technology Centre ( Nectec), which is a division of the National Science and Technology Development Agency ( NSTDA ), according to NSTDA director Prof. Sukit Limpijumnong.
The platform was created to secure, manage, and standardize the full development cycle for medical AI. According to him, the Department of Medical Services under the Ministry of Public Health oversees it in accordance with the Government Data Center and Cloud criteria.
Three crucial elements make up the software. The first is the data management system created by Nectec researchers, RadiiView, a cloud-based health image annotation program. It enables doctors to accurately indicate crucial details on images, creating high-quality datasets for AI coaching.
Researchers can create AI models using the NomadML system, which is the second element. RadiiView’s automated dataset application may be quickly accelerated by the NSTDA supercomputer’s integration with the system’s parallel control. The second component is the AI service deployment, which sends tested AI models to healthcare facilities in the real world.