Seoul National University Medical AI Convergence Talent Training Project Group
“Fostering 170 medical AI experts within 4 years.”

Participants are taking group photos at the Seoul National University Medical Artificial Intelligence (AI) Convergence Talent Training Project Group Performance Exchange Meeting. [Seoul National University Medical School]
Participants are taking group photographs at the Seoul National University Medical Artificial Intelligence (AI) Convergence Talent Training Project Group Performance Exchange Meeting. [Seoul National University Medical School]

In the era of medical artificial intelligence (AI), Seoul National University Medical School introduced that it’ll foster an academic and analysis basis that mixes medication and engineering.

The Seoul National University Medical AI Convergence Talent Training Project Group (Medical AI Convergence Talent Project Group) introduced on the eighth that it held a “2026-1 Semester Medical AI Convergence Talent Training Project Group Performance Exchange” at the Graduate School of Data Science at Seoul National University Gwanak Campus on the nineteenth of final month.

This efficiency alternate is an element of a medical AI-specific convergence expertise coaching undertaking supported by the Ministry of Health and Welfare and the Korea Health Industry Promotion Agency, and is designed to share the undertaking group’s training and analysis outcomes and announce future enterprise plans.

The Medical AI Convergence Talent Project Group, launched in 2022, goals to domesticate convergent medical AI abilities that encompasses medical and engineering fields akin to knowledge science and digital healthcare. To this finish, the undertaking group is establishing a cooperative basis to attach medical AI scientific websites and expertise growth by linking Seoul National University’s Faculty of Advanced Convergence, the Graduate School of Data Science, Seoul National University Hospital, and Naver.

According to the undertaking group, Seoul National University is planning to domesticate a complete of 170 medical AI-specific convergence abilities by 2029. Based on the choice of the Ministry of Health and Welfare’s medical AI convergence expertise coaching undertaking final yr, the undertaking group introduced that it’ll practice medical AI consultants with each medical and engineering capabilities by establishing a Korean Health Sciences & Technology (HST) joint main at Seoul National University.

The HST Combined Major is a brand new main that integrates training and analysis from pharmaceutical universities and engineering and pure sciences universities, and is predicted to open as early as subsequent yr. HST benchmarked a health care provider scientist coaching program collectively established by Harvard University and the Massachusetts Institute of Technology (MIT) in 1970. Based on the program, medical faculties in the United States produce about 600 to 700 medical scientists every year, or about 3% of their graduates.

In the future, the undertaking group will develop a “HST Korea” curriculum together with STM (Science & Technology in Medicine) programs in reference to the built-in six-year medical college curriculum and broaden it to a proper joint main system that connects medical care and engineering.

“According to the Seoul National University Medical Big Data Research Center, if AI is fully introduced into the domestic medical community, we can save around 21 trillion won in medical expenses every year,” stated Lee Kyu-eon, head of the Medical AI Convergence Talent Project at Seoul National University. The aim is to attach medication and engineering inside a single academic system to domesticate engineers with medical pondering and medical doctors with engineering approaches, he stated.

At the efficiency alternate assembly on today, a analysis presentation by college students who participated in the medical AI convergence expertise coaching undertaking was additionally held. The subjects of the presentation consisted of △Improving the reliability of medical AI brokers △ Optimizing medical schedules primarily based on worth data △ Automating scientific trials primarily based on multi-agent collaboration △ Research on digital actuality (VR)-based well being examination questionnaires.



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