Hyeonhoon Lee
Orcid: 0000-0002-9426-823X
According to our database1,
Hyeonhoon Lee authored at least 18 papers
between 2023 and 2026.
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Bibliography
2026
Coding-Free and Privacy-Preserving Agentic Framework for Data-Driven Clinical Research.
CoRR, April, 2026
Efficacy of large language models in detecting postoperative delirium from unstructured clinical notes: A retrospective cohort study.
npj Digit. Medicine, 2026
2025
Tiered Agentic Oversight: A Hierarchical Multi-Agent System for AI Safety in Healthcare.
CoRR, June, 2025
BehaviorSFT: Behavioral Token Conditioning for Clinical Agents Across the Proactivity Spectrum.
CoRR, May, 2025
CoRR, March, 2025
Multicenter validation of a scalable, interpretable, multitask prediction model for multiple clinical outcomes.
npj Digit. Medicine, 2025
Development of a deep learning-based prediction model for postoperative delirium using intraoperative electroencephalogram in adults.
npj Digit. Medicine, 2025
Deep Learning-Based Arterial Blood Pressure Waveform Generation Using Photoplethysmography for Non-Invasive Hemodynamic Monitoring.
Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025
VocalAgent: Large Language Models for Vocal Health Diagnostics with Safety-Aware Evaluation.
Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025
BehaviorSFT: Behavioral Token Conditioning for Health Agents Across the Proactivity Spectrum.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
2024
Comparison of NLP machine learning models with human physicians for ASA Physical Status classification.
npj Digit. Medicine, 2024
Reinforcement learning model for optimizing dexmedetomidine dosing to prevent delirium in critically ill patients.
npj Digit. Medicine, 2024
A Demonstration of Adaptive Collaboration of Large Language Models for Medical Decision-Making.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
2023
Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICU.
npj Digit. Medicine, 2023
Development and validation of a reinforcement learning model for ventilation control during emergence from general anesthesia.
npj Digit. Medicine, 2023