Korean Journal of Anesthesiology

Artificial intelligence in intensive care units: a scoping review addressing the translational gap to clinical practice: Francesco Zarantonello, Alessandro De Cassai, Tommaso Pettenuzzo, Nicolò Sella, Giulia Mormando, Annalisa Bolzon, Giulia Aviani Fulvio, Carlo Alberto Bertoncello, Annalisa Boscolo; Korean J Anesthesiol. 2026;79(3):291-305. Published online March 31, 2026; DOI: https://doi.org/10.4097/kja.251142
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Comparison of large language models and conventional machine learning in postoperative outcome prediction: a retrospective, multi-national development and validation study: Jipyeong Lee, Hyeonsik Kim, Luke Kim, Leerang Lim, Hyung-Chul Lee, Hyeonhoon Lee; Korean J Anesthesiol. 2026;79(3):332-352. Published online February 3, 2026; DOI: https://doi.org/10.4097/kja.25646
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Analysis and development of risk prediction models for chronic opioid use after surgery: a cohort study using the nationwide database: Jonghae Kim, Hyun-Lim Yang, Eugene Kim, Hyung-Chul Lee, Hyun-Kyu Yoon, Yun Jin Kim, Kyu-Nam Kim, Ji-Yoon Kim, Jeong Min Sung, Tagkeun Lee; Korean J Anesthesiol. 2025;78(5):429-442. Published online August 28, 2025; DOI: https://doi.org/10.4097/kja.24831
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Comprehensive reporting guidelines and checklist for studies developing and utilizing artificial intelligence models: Sang Gyu Kwak, Jonghae Kim; Korean J Anesthesiol. 2025;78(3):199-214. Published online March 26, 2025; DOI: https://doi.org/10.4097/kja.25075
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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
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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
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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
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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
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