Eunbyeol Cho

I am a Ph.D. student at KAIST Graduate School of AI, advised by Professor Edward Choi. My research interests lie in Healthcare AI and Natural Language Processing. I am particularly interested in text-based EHR synthesis, including its real-world applications, evaluation, and the hallucination behavior of generative models.

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Publication

* denotes equal contribution.

Opioid Use as a Predictor of Pancreas Transplant Outcomes Youngmin Ko*, Eunbyeol Cho*, Hye Eun Kwon, Jin-Myung Kim, Sung Shin, Young Hoon Kim, Edward Choi, Byunghyun Choi, Hyunwook Kwon Clinical Transplantation 2026
Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing Eunbyeol Cho, Jiyoun Kim, Minjae Lee, Sungjin Park, Edward Choi Proceedings of Neural Information Processing Systems (NeurIPS) 2025
A deep-learning algorithm using real-time collected intraoperative vital sign signals for predicting acute kidney injury after major non-cardiac surgeries: A modelling study Sehoon Park*, Soomin Chung*, Yisak Kim, Sun-Ah Yang, Soie Kwon, Jeong Min Cho, Min Jae Lee, Eunbyeol Cho, Jiwon Ryu, Sejoong Kim, Jeonghwan Lee, Hyung Jin Yoon, Edward Choi, Kwangsoo Kim, Hajeong Lee PLOS Medicine 2025
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes Sunjun Kweon*, Junu Kim*, Jiyoun Kim, Sujeong Im, Eunbyeol Cho, Seongsu Bae, Jungwoo Oh, Gyubok Lee, Jong Hak Moon, Seng Chan You, Seungjin Baek, Chang Hoon Han, Yoon Bin Jung, Yohan Jo, Edward Choi Findings in Association for Computational Linguistics (ACL) 2024
GenHPF: General Healthcare Predictive Framework for Multi-task Multi-source Learning Kyunghoon Hur, Jungwoo Oh, Junu Kim, Jiyoun Kim, Min Jae Lee, Eunbyeol Cho, Seong-Eun Moon, Young-Hak Kim, Louis Atallah, Edward Choi Journal of Biomedical and Health Informatics (JBHI) 2023
EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images Seongsu Bae*, Daeun Kyung*, Jaehee Ryu, Eunbyeol Cho, Gyubok Lee, Sunjun Kweon, Jungwoo Oh, Lei Ji, Eric I-Chao Chang, Tackeun Kim, Edward Choi Neural Information Processing Systems (NeurIPS) 2023 Datasets and Benchmarks
Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records Eunbyeol Cho*, Min Jae Lee*, Kyunghoon Hur, Jiyoun Kim, Jinsung Yoon, Edward Choi Conference on Health, Inference, and Learning (CHIL) 2023 (Oral Presentation)
No-reference perceptual CT image quality assessment based on a self-supervised learning framework Wonkyeong Lee*, Eunbyeol Cho*, Wonjin Kim, Hyebin Choi, Kyongmin Sarah Beck, Hyun Jung Yoon, Jongduk Baek, Jang-Hwan Choi Machine Learning: Science and Technology 2022
Performance evaluation of image quality metrics for perceptual assessment of low-dose computed tomography images Wonkyeong Lee*, Eunbyeol Cho*, Wonjin Kim, Jang-Hwan Choi Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022
Deep convolutional neural network-based automated lesion detection in wireless capsule endoscopy Yejin Jeon*, Eunbyeol Cho*, Sehwa Moon, Seung-Hoon Chae, Hae Young Jo, Tae Oh Kim, Chang Mo Moon, Jang-Hwan Choi International Forum on Medical Imaging in Asia (IFMIA) 2019

Preprint

K-FinHallu: A Hallucination Detection Benchmark for Multi-Turn RAG in Korean Finance Eunbyeol Cho*, Yunseung Lee*, Mirae Kim, Jeewon Yang, Youngjun Kwak, Edward Choi Under Review
DialSim: A Real-Time Simulator for Evaluating Long-Term Dialogue Understanding of Conversational Agents Jiho Kim, Woosog Chay, Hyeonji Hwang, Daeun Kyung, Hyunseung Chung, Eunbyeol Cho, Yohan Jo, Edward Choi Under Review
Privacy-Preserving Synthetic Data Enhances Postoperative Acute Kidney Injury Prediction in Data-Scarce Clinical Settings: A Multicenter Modeling Study Soie Kwon*, Eunbyeol Cho*, Minjae Lee, Yissak Kim, Sunah Yang, Jeong Min Cho, Sehoon Park, Chung Hee Baek, Jiwon Ryu, Sejoong Kim, Jeonghwan Lee, Ji In Park, Jin Ho Hwang, Ji Eun Kim, Kwangsoo Kim, Hyeong-Jin Yoon, Edward Choi, Hajeong Lee Under Review

Education

Korea Advanced Institute of Science and Technology (KAIST)
September 2023 - Present
Ph.D. in Artificial Intelligence
Advisor: Prof. Edward Choi
Korea Advanced Institute of Science and Technology (KAIST)
September 2021 - August 2023
M.S. in Artificial Intelligence
Advisor: Prof. Edward Choi
Ewha Womans University
March 2017 - August 2021
B.S. in Mechanical and Biomedical Engineering

Experience

AI Engineer at ImagoWorks Inc. (Mar 2020 – Aug 2020)
3D mesh segmentation for dental application
Research Intern at KIST (Jan 2020 – Feb 2020)
3D geometric deep learning for dental scan data
Advisor: Youngjun Kim
Research Intern at Medical AI & CV Lab (July 2018 – Aug 2021)
CNN-based lesion detection and medical image quality assessment
Advisor: Jang-Hwan Choi

Academic Activities

ATW 2025 Oral Presentation (Nov 2025)
Presentation title: Development of an Automated Tacrolimus Dosing Model Using Machine Learning in Kidney Transplant Recipients
KoSAIM Summer School Hands-on Session Instructor (Aug 2023, 2024)
Topic: Chest X-ray Classification using CNN

Honors & Scholarships

1st Prize in Graduation Project & Capstone Design Competition Award (2020)
Developed an AI-based smart mirror for stroke rehabilitation.
2nd Prize in KU Medical Hackathon (2019)
Proposed an AI Psychological Analysis System for mental illness management.
Academic Excellence Scholarships (2017 – 2021)
Received scholarships three times for outstanding academic performance.
Scholarship for International Program, Germany (Jan 2018)
Participated in an international field program in biomedical engineering.