Hallym University's "Medical AI Convergence Talent Training Program" Bears Fruit
Graduate Jiwon Yoo Becomes Co-First Author in Top 5% Global Journals
Jiwon Yoo, a graduate of the Department of Artificial Intelligence Convergence at Hallym University and currently a doctoral student at Seoul National University College of Medicine, has published two papers consecutively as co-first author in the world-renowned medical journals JAMA Network Open (Impact Factor 9.7) and Clinical Microbiology and Infection (Impact Factor 8.5). Both journals are ranked in the top 5% of their respective fields.
From the left: Master’s graduate Jiwon Yoo, Professor Jina Shim, Professor Dongok Won, Director Jaejun Lee of Chuncheon Sacred Heart Hospital. Provided by Hallym University
While studying at Hallym University, Jiwon Yoo participated in the "Medical Artificial Intelligence Convergence Talent Training Program" (currently the Specialized Medical AI Convergence Talent Training Program) supported by the Korea Health Industry Development Institute under the Ministry of Health and Welfare. Through this program, Yoo conducted a variety of interdisciplinary research projects, including clinical medicine and AI-based data analysis. The program is led by Jaejun Lee, Director of Chuncheon Sacred Heart Hospital, with Professor Dongok Won of Hallym University's Department of Artificial Intelligence Convergence serving as deputy director.
The two recently published international papers are based on data analyzed by Jiwon Yoo during the period of support from the talent training program, which greatly contributed to Yoo's stable research activities and achievements. Both international papers were conducted under the guidance of Professor Jina Shim of Hallym University's Department of Artificial Intelligence Convergence, with Professors Kim Jeonghan of Ewha Womans University Mokdong Hospital and Yoo Shinhye of Seoul National University Hospital serving as co-advisors.
Paper 1: "Broad-Spectrum Antibiotic Use at the End of Life in Patients With Advanced Cancer" - JAMA Network Open (Impact Factor 9.7)
This study analyzed the use of broad-spectrum antibiotics at the end of life in patients with advanced cancer using large-scale medical data, presenting patterns of antibiotic prescriptions at the end of life and their clinical and policy implications. In particular, it provided important evidence for reducing unnecessary antibiotic use, managing antibiotic resistance, and improving the appropriateness of care for terminal patients.
Paper 2: "Association between multidrug-resistant organism status and quality of end-of-life care in patients with advanced cancer referred to palliative care: a retrospective cohort study with nationwide data linkage" - Clinical Microbiology and Infection (Impact Factor 8.5)
This retrospective cohort study analyzed, through nationwide data linkage, how the presence of multidrug-resistant organisms (MDRO) affects the quality of hospice and palliative care. The research team systematically identified factors that lower the quality of care in terminal cancer patients at high risk of infection, such as unnecessary isolation, antibiotic use, and prolonged hospitalization. The study offers policy implications for balancing infection control and palliative care.
Meanwhile, Hallym University is operating the "Specialized Medical AI Convergence Talent Training Program" with support from the Korea Health Industry Development Institute under the Ministry of Health and Welfare, aiming to nurture talent in the convergence of artificial intelligence, medicine, and biotechnology. The university supports practical education and research across undergraduate, graduate, and research programs, focusing on AI-based clinical data analysis, medical imaging AI, and medical data science.
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