Artificial Intelligence in Medicine

EEG-based epileptic seizure prediction with patient-tailored spectral-spatial-temporal feature learning

Woohyeok Choi, Jun-Mo Kim, Hyeonyeong Nam, Soyeon Bak, Dong-Hee Shin, Tae-Eui Kam

Generating Interpretable Context-Aware Medical Concept Embedding Implicating Expert Knowledge using LLMs

Bong Gyun Kang*, Hyeongrok Han*, Junyong Ahn, Myungdeok Jang, Ho Geol Ryu, Hyung-Chul Lee, Chang Wook Jeong, Dahuin Jung, Si-Baek Seong, Sungroh Yoon

Comparing Neural Language Models for Medical Concept Representation and Patient Trajectory Prediction

Alban Bornet, Dimitrios Proios, Anthony Yazdani, Fernando Jaume Santero, Guy Haller, Edward Choi, Douglas Teodoro

IdenBAT: Disentangled Representation Learning for Identity-Preserved Brain Age Transformation

J. Maeng, K. Oh, W. Jung, H.-I. Suk

Predicting Drug-Drug Interactions: A Deep Learning Approach with GCN-Based Collaborative Filtering

Yeon Uk Jeong, Jeongwhan Choi, Noseong Park, Jae Yong Ryu, and Yi Rang Kim

Leveraging VQ-VAE Tokenization for Autoregressive Modeling of Medical Time Series

(SCIE) Yoonhyung Lee, Younhyung Chae, and Kyomin Jung

Real-world prediction of preclinical Alzheimer's disease with a deep generative model

Uiwon Hwang, Sung-Woo Kim, Dahuin Jung, SeungWook Kim, Hyejoo Lee, Sang Won Seo, Joon-Kyung Seong, Sungroh Yoon

Real-world Prediction of Preclinical Alzheimer’s Disease with a Deep Generative Model

Uiwon Hwang, Sung-Woo Kim, Dahuin Jung, SeungWook Kim, Hyejoo Lee, Sang Won Seo, Joon-Kyung Seong, Sungroh Yoon

Self-Attention LSTM-FCN Model for Arrhythmia Classification and Uncertainty Assessment

JaeYeon Park, Kichang Lee, Noseong Park, Seng Chan You, and JeongGil Ko