| 2023 | Age-integrated artificial intelligence framework for sleep stage classification and obstructive sleep apnea screening | 이향운; 안소라; 황성은 | Article |
| 2023 | Cancer Prediction With Machine Learning of Thrombi From Thrombectomy in Stroke: Multicenter Development and Validation | 송태진; 장윤경 | Article |
| 2019 | Cascaded Wx: A Novel Prognosis-Related Feature Selection Framework in Human Lung Adenocarcinoma Transcriptomes | 안영호 | Article |
| 2020 | Clinical Implication of Machine Learning in Predicting the Occurrence of Cardiovascular Disease Using Big Data (Nationwide Cohort Data in Korea) | 박준범 | Article |
| 2023 | Detecting amyloid-β positivity using regions of interest from structural magnetic resonance imaging | 정지향; 윤혜전; 박희경 | Article |
| 2020 | Identification of Novel microRNA Prognostic Markers Using Cascaded Wx, a Neural Network-Based Framework, in Lung Adenocarcinoma Patients | 안영호 | Article |
| 2023 | Interpretable Deep-Learning Approaches for Osteoporosis Risk Screening and Individualized Feature Analysis Using Large Population-Based Data: Model Development and Performance Evaluation | 이상화; 김진우 | Article |
| 2021 | Machine Learning-Based Automatic Classification of Video Recorded Neonatal Manipulations and Associated Physiological Parameters: A Feasibility Study | 조수진 | Article |
| 2022 | Predicting preterm birth through vaginal microbiota, cervical length, and WBC using a machine learning model | 김영주; 유영아; Ansari Abuzar; 박선화 | Article |
| 2022 | Prediction of Emergency Cesarean Section Using Machine Learning Methods: Development and External Validation of a Nationwide Multicenter Dataset in Republic of Korea | 박미혜 | Article |
