Radiology Explainable Artificail Intelligence Laboratory
"REX Lab" focuses on the development of explainable artificial intelligence (XAI) for medical imaging and radiology. The laboratory aims to create transparent, trustworthy, and clinically relevant AI solutions that support diagnostic accuracy, research innovation, and patient care. Special emphasis is placed on nuclear medicine, diagnostic imaging, AI-assisted clinical decision support, and radiation protection.
Development of Explainable Artificial Intelligence (XAI) for medical imaging and radiology applications.
Artificial intelligence–assisted diagnostic imaging and clinical decision support systems.
Nuclear medicine imaging research, including SPECT/CT and PET/CT interpretation and AI applications in molecular imaging.
Radiation safety and radiation protection research for healthcare professionals and patients.
Machine learning and deep learning applications in medical image analysis and healthcare innovation.
Potjanee Kanchanapibon, Ph.D.
Group Leader
Clinical Advisors: Associate Professor Ajalaya Teyateeti, MD
Associate Professor AchirayaTeyateeti, MD
Graduate Research Student: Mr. Taweekan Suknamai
Medical Student Researcher: Mr. Phawat Sirikrai