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Frontiers in Medicine|August 15, 2022
Deep autoencoder-powered pattern identification of sleep disturbance using multi-site cross-sectional survey dataHyeonhoon Lee, Yujin Choi, Byunwoo Son, et al.
Cancers|October 14, 2022
Validation of MRI-Based Models to Predict MGMT Promoter Methylation in Gliomas: BraTS 2021 Radiogenomics ChallengeByung-Hoon Kim, Hyeonhoon Lee, Kyu Sung Choi, et al.
NPJ Digital Medicine|November 22, 2023
Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICUHyeonhoon Lee, Hyun-Lim Yang, Ho Geol Ryu, et al.
NPJ Digital Medicine|September 30, 2025
Multicenter validation of a scalable, interpretable, multitask prediction model for multiple clinical outcomesHyun-Kyu Yoon, Bo Rim Kim, Hyo Young Kim, et al.
Journal of Clinical Anesthesia|May 6, 2026
Predicting postoperative atrial fibrillation after cardiac surgery using machine learningYoun Joung Cho, Jang Ho Ahn, Jin-Woo Park, et al.
Digital Health|July 8, 2026
Multi-parameter prediction of extubation failure using spontaneous breathing trial and post-spontaneous breathing trial rest period dataHyun-Lim Yang, Seong-A Park, Sangha Kim, et al.
NPJ Digital Medicine|December 13, 2025
Efficacy of large language models in detecting postoperative delirium from unstructured clinical notes: A retrospective cohort studyDa-In Eun, Hyung-Chul Lee, Gang Heo, et al.
Scientific Data|June 21, 2024
INSPIRE, a publicly available research dataset for perioperative medicineLeerang Lim, Hyeonhoon Lee, Chul-Woo Jung, et al.
JMIR AI|December 9, 2024
Current State of Community-Driven Radiological AI Deployment in Medical ImagingVikash Gupta, Barbaros Erdal, Carolina Ramirez, et al.
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