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Edward Choi — KAIST AI
Edward Choi
Research Interests:
Medical AI
Natural Language Processing
Persona Agents
User Simulation
Recent Update
May 2026 : Check out MEDS from our collaborators, published at NEJM AI.
April 2026 : Check out PICon, CXReasonAgent, H-AdminSim, and PatientSim on our Projects page, with live demos and leaderboards.
April 2026 : Congrats to Jun-Min Lee for having H-AdminSim accepted at CHIL 2026.
April 2026 : Congrats to Jong Hak Moon for having Lunguage accepted at CHIL 2026.
April 2026 : Congrats to Junu Kim for having LayerNorm Induces Recency Bias in Transformer Decoders accepted at Findings of ACL 2026.
February 2026 : Congrats to Geon Choi for having ROSALIA accepted at CVPR 2026.
February 2026 : Congrats to Jong Hak Moon for having Modeling Clinical Uncertainty in Radiology Reports accepted at LREC 2026.
January 2026 : Congrats to Jiyoun Kim for having EHRFL: Federated Learning for Heterogeneous Electronic Health Record Systems accepted at Scientific Reports.
January 2026 : Congrats to Hyunseung Chung for having ECG-Agent accepted at ICASSP 2026.
January 2026 : Congrats to Jiho Kim for having ProPerSim accepted at ICLR 2026.
January 2026 : Congrats to Gyubok Lee for having EHR-ChatQA accepted at ICLR 2026.
January 2026 : Check out LLM-generated RadLex Ontology Expansion from our collaborators, published at American Journal of Roentgenology.
January 2026 : Congrats to Franck Meyer for having MD-ViSCo: A Unified Model for Multi-Directional Vital Sign Waveform Conversion published at JBHI.
October 2025 : Congrats to Gyubok Lee and Woosog Chay for having SCARE accepted at ML4H 2025.
October 2025 : Congrats to Gyubok Lee for having FHIR-AgentBench accepted at ML4H 2025.
October 2025 : Congrats to Sumin Jo and Junseong Choi for having R2-KG accepted at Findings of IJCNLP-AACL 2025.
September 2025 : Congrats to Eunbyeol Cho for having RawMed accepted at NeurIPS 2025.
September 2025 : Congrats to Daeun Kyung for having PatientSim accepted at NeurIPS 2025 Datasets and Benchmarks as a Spotlight .
September 2025 : Congrats to Hyungyung Lee for having CXReasonBench accepted at NeurIPS 2025 Datasets and Benchmarks as a Spotlight .
September 2025 : Congrats to Jiyoung Lee for having Trans-EnV accepted at NeurIPS 2025 Datasets and Benchmarks.
May 2025 : Congrats to Sunjun Kweon for having A Large-Scale Real-World Evaluation of an LLM-Based Virtual Teaching Assistant accepted at ACL 2025 Industry Track.
April 2025 : Congrats to Sujeong Im and Jungwoo Oh — LabTOP received the Best Paper Award at CHIL 2025!
April 2025 : Congrats to Daeun Kyung for having EHRXDiff accepted at CHIL 2025.
March 2025 : Check out Comparing Neural Language Models for Medical Concept Representation and Patient Trajectory Prediction from our collaborators, to appear at Artificial Intelligence in Medicine.
February 2025 : Check out A deep-learning algorithm using real-time collected intraoperative vital sign signals for predicting acute kidney injury after major non-cardiac surgeries from our collaborators, to appear at PLOS Medicine.
January 2025 : Congrats to Sungjin Park for having Ensembling LLMs with Process Reward-Guided Tree Search accepted at NAACL 2025.
January 2025 : Check out Single Ground Truth Is Not Enough: Add Linguistic Variability to Aspect-based Sentiment Analysis Evaluation from our collaborators, to appear at NAACL 2025.
September 2024 : Congrats to Yeonsu Kwon and Jiho Kim for having EHRCon accepted at NeurIPS 2024 Datasets and Benchmarks as a Spotlight .
September 2024 : Congrats to Sunjun Kweon and Jiyoun Kim for having EHRNoteQA accepted at NeurIPS 2024 Datasets and Benchmarks.
September 2024 : Check out Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling from our collaborators, to appear at Findings of EMNLP 2024.
September 2024 : Check out Evaluation Framework of Large Language Models in Medical Documentation from our collaborators, to appear at Journal of Medical Internet Research.
September 2024 : Congrats to Daeun Kyung for having Significantly Improving Zero-shot X-ray Pathology Classification via Fine-tuning Pre-trained Image-Text Encoders accepted at Scientific Reports.
July 2024 : Congrats to Hyunseung Chung for having Time is Not Enough accepted at CIKM 2024.
July 2024 : Congrats to Junu Kim for having REMed accepted at MLHC 2024.
May 2024 : Congrats to Jiyoung Lee for having KorNAT accepted at Findings of ACL 2024.
May 2024 : Congrats to Sunjun Kweon and Junu Kim for having Asclepius accepted at Findings of ACL 2024.
May 2024 : Congrats to Jaehee Ryu and Seonhee Cho for having EHR-SeqSQL accepted at Findings of ACL 2024.
April 2024 : Congrats to Hyungyung Lee for having UniXGen accepted at CHIL 2024.
January 2024 : Congrats to Junwoo Park for having Self-Supervised Contrastive Learning for Long-term Forecasting accepted at ICLR 2024.
December 2023 : Congrats to Sungjin Park for having Multimodal Transformer with a Low-Computational-Cost Guarantee accepted at ICASSP 2024.
December 2023 : Check out Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical Professionals from our collaborators, to appear at Korean Journal of Radiology.
October 2023 : Congrats to Kyunghoon Hur for having GenHPF: General Healthcare Predictive Framework for Multi-task Multi-source Learning accepted at JBHI.
October 2023 : Congrats to Jiho Kim for having KG-GPT accepted at Findings of EMNLP 2023.
September 2023 : Congrats to Seongsu Bae and Daeun Kyung for having EHRXQA accepted at NeurIPS 2023 Datasets and Benchmarks.
September 2023 : Congrats to Jiyoung Lee for having VisAlign accepted at NeurIPS 2023 Datasets and Benchmarks.
September 2023 : Congrats to Jungwoo Oh for having ECG-QA accepted at NeurIPS 2023 Datasets and Benchmarks.
September 2023 : Check out Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention from our collaborators, to appear at MLHC 2023.
June 2023 : Congrats to Junwoo Park for having Deep Imbalanced Time-series Forecasting via Local Discrepancy Density accepted at ECML-PKDD 2023.
May 2023 : Congrats to Jiho Kim for having FactKG accepted at ACL 2023.
May 2023 : Congrats to Sunjun Kweon for having Open-WikiTable accepted at Findings of ACL 2023.
April 2023 : Congrats to Eunbyeol Cho and Min Jae Lee for having Rediscovery of CNN's Versatility for Text-based Encoding of Raw EHR accepted at CHIL 2023 as an Oral Presentation .
April 2023 : Congrats to Seongjun Yang and Hyeonji Hwang for having Towards the Practical Utility of Federated Learning in the Medical Domain accepted at CHIL 2023.
February 2023 : Congrats to Daeun Kyung — PerX2CT received the Best Student Paper Award (Oral) at ICASSP 2023!
February 2023 : Congrats to Woncheol Shin — Exploration into Translation-Equivariant Image Quantization was recognized as a Top 3% paper (Oral) at ICASSP 2023.
February 2023 : Congrats to Hyunseung Chung for having Text-To-ECG accepted at ICASSP 2023.
November 2022 : Check out Revisiting the Importance of Amplifying Bias for Debiasing from our collaborators, to appear at AAAI 2023.
October 2022 : Congrats to Radhika Dua for having Task Agnostic and Post-hoc Unseen Distribution Detection accepted at WACV 2023.
October 2022 : Congrats to Sungjin Park for having Do Language Models Understand Measurements? accepted at Findings of EMNLP 2022.
October 2022 : Congrats to Jiyoung Lee for having Specializing Multi-domain NMT via Penalizing Low Mutual Information accepted at EMNLP 2022.
October 2022 : Check out Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model from our collaborators, to appear at EMNLP 2022.
October 2022 : Check out Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity from our collaborators, to appear at COLING 2022.
October 2022 : Congrats to Jong Hak Moon and Hyungyung Lee for having MedViLL: Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training accepted at JBHI.
September 2022 : Congrats to Gyubok Lee for having EHRSQL accepted at NeurIPS 2022 Datasets and Benchmarks.
September 2022 : Congrats to Hyungyung Lee for having Unconditional Image-Text Pair Generation with Multimodal Cross Quantizer accepted at BMVC 2022.
September 2022 : Congrats to Jong Hak Moon for having Correlation between Alignment-Uniformity and Performance of Dense Contrastive Representations accepted at BMVC 2022.
March 2022 : Congrats to Kwanhyung Lee for having Real-Time Seizure Detection using EEG accepted at CHIL 2022.
March 2022 : Congrats to Jungwoo Oh for having Lead-agnostic Self-supervised Learning for ECG accepted at CHIL 2022.
March 2022 : Congrats to Daeyoung Kim for having Uncertainty-Aware Text-to-Program for QA on Structured EHR accepted at CHIL 2022.
March 2022 : Congrats to Sungjin Park for having Graph-Text Multi-Modal Pre-training for Medical Representation Learning accepted at CHIL 2022.
March 2022 : Congrats to Kyunghoon Hur and Jiyoung Lee for having Unifying Heterogenous EHR Systems via Text-Based Code Embedding accepted at CHIL 2022.
February 2022 : Check out Artificial Intelligence and Cardiovascular Genetics from our collaborators, to appear at Life.
December 2021 : Congrats to Seongsu Bae — Question Answering for Complex EHR Database received the Best Poster Award (Oral Spotlight) at ML4H 2021!
October 2021 : Congrats to Kangyeol Kim for having Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE accepted at BMVC 2021.
June 2021 : Congrats to Junwoo Park for having Knowledge Graph-based Question Answering with Electronic Health Records accepted at MLHC 2021.
May 2021 : Congrats to Gyubok Lee and Seongjun Yang for having Improving Lexically Constrained Neural Machine Translation accepted at ACL 2021.
February 2020 : Check out Analyzing the Role of Model Uncertainty for Electronic Health Records from our collaborators, to appear at CHIL 2020.
February 2020 : Edward Choi joined KAIST as an assistant professor at the Kim Jaechul Graduate School of AI. The lab is open for business!
Recent Publications
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Edward Choi's Lab · Kim Jaechul Graduate School of AI, KAIST