Korean Journal of Anesthesiology

Machine learning model of facial expression outperforms models using analgesia nociception index and vital signs to predict postoperative pain intensity: a pilot study: Insun Park, Jae Hyon Park, Jongjin Yoon, Hyo-Seok Na, Ah-Young Oh, Junghee Ryu, Bon-Wook Koo; Korean J Anesthesiol. 2024;77(2):195-204. Published online January 5, 2024; DOI: https://doi.org/10.4097/kja.23583
Web of Science 2 Crossref 3; Full text PubReader ePub PDF PDF(Korean) Supplementary Material

Predicting optimal endotracheal tube size and depth in pediatric patients using demographic data and machine learning techniques: Hyeonsik Kim, Hyun-Kyu Yoon, Hyeonhoon Lee, Chul-Woo Jung, Hyung-Chul Lee; Korean J Anesthesiol. 2023;76(6):540-549. Published online September 26, 2023; DOI: https://doi.org/10.4097/kja.23501
Web of Science 1; Full text PubReader ePub PDF PDF(Korean) Supplementary Material

Artificial intelligence in perioperative medicine: a narrative review: Hyun-Kyu Yoon, Hyun-Lim Yang, Chul-Woo Jung, Hyung-Chul Lee; Korean J Anesthesiol. 2022;75(3):202-215. Published online March 29, 2022; DOI: https://doi.org/10.4097/kja.22157
Web of Science 9 Crossref 12; Full text PubReader ePub PDF PDF(Korean)

Data science and machine learning in anesthesiology: Dongwoo Chae; Korean J Anesthesiol. 2020;73(4):285-295. Published online March 25, 2020; DOI: https://doi.org/10.4097/kja.20124
Web of Science 9 Crossref 13; Full text PubReader ePub PDF PDF(Korean)

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