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.
Publication
* denotes equal contribution.
- Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing 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 PLOS Medicine 2025
- Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes Findings in Association for Computational Linguistics (ACL) 2024
- GenHPF: General Healthcare Predictive Framework for Multi-task Multi-source Learning Journal of Biomedical and Health Informatics (JBHI) 2023
- EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images Neural Information Processing Systems (NeurIPS) 2023 Datasets and Benchmarks
- Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records Conference on Health, Inference, and Learning (CHIL) 2023 (Oral Presentation)
- No-reference perceptual CT image quality assessment based on a self-supervised learning framework Machine Learning: Science and Technology 2022
- Performance evaluation of image quality metrics for perceptual assessment of low-dose computed tomography images Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022
- Deep convolutional neural network-based automated lesion detection in wireless capsule endoscopy International Forum on Medical Imaging in Asia (IFMIA) 2019
Preprint
- DialSim: A Real-Time Simulator for Evaluating Long-Term Dialogue Understanding of Conversational Agents Under Review
- Privacy-Preserving Synthetic Data Enhances Postoperative Acute Kidney Injury Prediction in Data-Scarce Clinical Settings: A Multicenter Modeling Study Under Review
Education
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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
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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
Honors & Scholarships
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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.