Seoul National University Cancer Hospital holds an international symposium on AI in the field of cancer treatment on the 21st
Nov 14, 2025
Seoul National University Cancer Hospital announced that it will hold a 2025 international symposium on the theme of 'Implementation of AI in Oncology' at Children's Hospital Cheil Jedang Hall from 1 p.m. to 5:30 p.m. on the 21st.
Artificial intelligence (AI) is a technology that enables precise pattern recognition and prediction by learning a large amount of data. The role of AI is important in cancer treatment due to the nature of dealing with complex genetic mutations and vast amounts of pathological data. In fact, innovative achievements using AI are continuing in early cancer diagnosis, customized treatment, and prognosis prediction.
This international symposium was organized by domestic and foreign experts to seek directions to effectively implement AI in cancer treatment and research sites. Through this, the goal is to present a new paradigm for AI-based cancer treatment and to lay the groundwork for sustainable global cooperation.
The symposium, which begins with the opening speech of Kim Dong-wan, chairman of the Cancer Care Department, consists of two sessions.
In the first session, domestic and foreign experts will present how to use AI and large language models (LLM) in cancer hospitals. ▲ Advancement of medicine and science for cancer treatment and research of AI physician scientists (Senior Director of Healthcare AI Research Institute Lee Hyung-chul) ▲ Implementation of LLM at Seoul National University Hospital (Senior Director of Seoul National University Hospital Healthcare AI Research Institute) ▲ Deep learning clinical application in glioblastoma images (Professor Choi Kyu-sung of the Department of Radiology at Seoul National University Hospital) ▲ Development and distribution of multi-modal AI tools to optimize treatment for liver transplant recipients (Professor Mamatha Bhat of Toronto University) ▲ Pan-cancer model in digital pathology (Pro.
The second session deals with cases of cancer research applying advanced AI analysis techniques. ▲Using multiple modal data to discover breast cancer biomarkers (Dr. Ding Ma, Shanghai Cancer Center, Pudan University) ▲ Predicting immune therapy efficacy of immune checkpoint inhibitors through blood tests and clinical data (Dr. Yoo Seung-geun of Samsung Seoul Hospital) ▲ Deciphering cancer using spatial information (Professor Na Kwon-joong of cardiovascular thoracic surgery at Seoul National University Hospital) ▲ POLARIS of Seoul National University Hospital: Knowledge Bank for Precision Medicine (Professor of Clinical Genomics at Seoul National University Hospital, Kim Si-hyun) will present.
Kim Dong-wan, Vice President of Cancer Care, said "This symposium is expected to provide an important opportunity to share AI-based cancer research results and the latest trends and present innovative research methods."`"Seoul National University Cancer Hospital will strengthen international leadership by establishing a venue for continuous global cooperation to conquer cancer.'
On the other hand, anyone interested in the symposium can participate without prior registration, and online viewing is also possible through the QR code in the poster.
Artificial intelligence (AI) is a technology that enables precise pattern recognition and prediction by learning a large amount of data. The role of AI is important in cancer treatment due to the nature of dealing with complex genetic mutations and vast amounts of pathological data. In fact, innovative achievements using AI are continuing in early cancer diagnosis, customized treatment, and prognosis prediction.
This international symposium was organized by domestic and foreign experts to seek directions to effectively implement AI in cancer treatment and research sites. Through this, the goal is to present a new paradigm for AI-based cancer treatment and to lay the groundwork for sustainable global cooperation.
The symposium, which begins with the opening speech of Kim Dong-wan, chairman of the Cancer Care Department, consists of two sessions.
In the first session, domestic and foreign experts will present how to use AI and large language models (LLM) in cancer hospitals. ▲ Advancement of medicine and science for cancer treatment and research of AI physician scientists (Senior Director of Healthcare AI Research Institute Lee Hyung-chul) ▲ Implementation of LLM at Seoul National University Hospital (Senior Director of Seoul National University Hospital Healthcare AI Research Institute) ▲ Deep learning clinical application in glioblastoma images (Professor Choi Kyu-sung of the Department of Radiology at Seoul National University Hospital) ▲ Development and distribution of multi-modal AI tools to optimize treatment for liver transplant recipients (Professor Mamatha Bhat of Toronto University) ▲ Pan-cancer model in digital pathology (Pro.
The second session deals with cases of cancer research applying advanced AI analysis techniques. ▲Using multiple modal data to discover breast cancer biomarkers (Dr. Ding Ma, Shanghai Cancer Center, Pudan University) ▲ Predicting immune therapy efficacy of immune checkpoint inhibitors through blood tests and clinical data (Dr. Yoo Seung-geun of Samsung Seoul Hospital) ▲ Deciphering cancer using spatial information (Professor Na Kwon-joong of cardiovascular thoracic surgery at Seoul National University Hospital) ▲ POLARIS of Seoul National University Hospital: Knowledge Bank for Precision Medicine (Professor of Clinical Genomics at Seoul National University Hospital, Kim Si-hyun) will present.
Kim Dong-wan, Vice President of Cancer Care, said "This symposium is expected to provide an important opportunity to share AI-based cancer research results and the latest trends and present innovative research methods."`"Seoul National University Cancer Hospital will strengthen international leadership by establishing a venue for continuous global cooperation to conquer cancer.'
On the other hand, anyone interested in the symposium can participate without prior registration, and online viewing is also possible through the QR code in the poster.
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This article was translated by Naver AI translator.
