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Professor Hwi Young Kim from Department of Medicine Develops AI-based Model to Predict Risk of Hepatocellular...

  • 작성처
  • Date2021.10.18
  • 1255

Professor Hwi Young Kim from Department of Medicine Develops AI-based Model to Predict Risk of Hepatocellular Carcinoma among Patients with Chronic Hepatitis B



Professor Hwi Young Kim developed an AI-based model named “PLAN-B” to predict the risk of hepatocellular carcinoma among patients with chronic hepatitis B. The multinational and multi-institutional clinical study, conducted jointly with foreign and domestic researchers including a research team led by Professor Jeong-Hoon Lee from the Department of Internal Medicine at Seoul National University Hospital, is drawing attention as it is expected to demonstrate high practical utility in real clinical practice by improving the prediction accuracy of hepatocellular carcinoma risk among patients with chronic hepatitis B for which prediction and preparation are vital.


In collaboration with researchers at home and abroad, research teams led by Professors Kim and Lee analyzed the data of a total of 13,508 patients with chronic hepatitis B from 18 institutions across South Korea and 11 institutions across Europe and North America, applying the data to AI-based machine learning algorithms to develop “PLAN-B,” which is a prediction model for the risk of hepatocellular carcinoma. “PLAN-B” is expected to be highly beneficial to practice as its prediction accuracy is significantly higher than that of existing prediction models. By providing more detailed analysis of hepatocellular carcinoma risk through a gradient-boosting machine algorithm, it will also contribute significantly to enabling treatment and patient management tailored to the characteristics of individual patients.


First author Professor Kim remarked, “We developed a unique prediction model for hepatocellular carcinoma using artificial intelligence, and this study holds significant clinical implications as its efficacy was validated using large-scale patient data from the East and the West,” and explained, “PLAN-B will greatly help in identifying patients with high risk of hepatocellular carcinoma as well as those with very low risk.”


PLAN-B was developed with support from “'Dr. Answer 2.0,” which is an AI-based precision medical solution development project. The research findings, titled “An Artificial Intelligence Model to Predict Hepatocellular Carcinoma Risk in Korean and Caucasian Patients with Chronic Hepatitis B,” were published in the online edition of Journal of Hepatology (IF = 25.083), a world-renowned academic journal in the field of gastrointestinal diseases and the official academic journal of the European Association of the Study of the Liver, on Friday, October 1.


Professor Kim, an expert in liver diseases, is particularly recognized in the domestic and international academia for his outstanding research achievements in clinical epidemiologic studies and prediction model development for liver cancer, cirrhosis and fatty liver. He is also active as a member of the Publication Committee and the Public Relations Committee at the Korean Association for the Study of the Liver.