Yonsei University AI Innovation Institute and LG AI Research Institute Sign MOU for Joint Medical AI Research
Yonsei University and LG AI Research Institute have signed a memorandum of understanding to enhance collaboration in medical AI research and technology application.
On March 13, Yonsei University's AI Innovation Institute, led by Director Yoon Dong-seob, and LG AI Research Institute, co-headed by Im Woo-hyung and Lee Hong-rak, signed a memorandum of understanding aimed at reinforcing their cooperation in medical and healthcare-focused artificial intelligence (AI) research. This partnership aims to combine the research capabilities of both the medical and industrial sectors, fostering the practical application of medical AI technologies while enhancing their global competitiveness.
The collaboration will encompass several key areas including specialized AI research in healthcare, exploration of solutions for the real-world application of medical AI, and joint participation in academic-industrial cooperation initiatives. The two institutes plan to exchange specialized personnel, nurture talent, and engage in research concerning ethical AI and AI governance. This collaboration marks a significant opportunity for both institutions to leverage their strengths, potentially leading to groundbreaking advancements in medical AI that can be applied in real-world healthcare settings.
Yoon Dong-seob emphasized that this partnership represents a pivotal moment in merging Yonsei University's medical AI research expertise with LG's cutting-edge AI technologies, aimed at developing AI solutions that can be utilized in medical environments. In parallel, Im Woo-hyung highlighted that the collaboration with Yonsei University, recognized for its medical data and clinical research capabilities, holds significant importance for advancing medical AI technology. Together, they seek to establish a robust collaborative framework that spans research, validation, and industrial application in the healthcare sector, ultimately aspiring to identify globally competitive medical AI research and business models.