Efficacy of large language models in detecting postoperative delirium from unstructured clinical notes: A retrospective cohort study
Year: 2025
Type: article
Language: en
Topic: Intensive Care Unit Cognitive Disorders
Authors and affiliations:
raw_author_name: Da-In Eun
raw_affiliation_strings: Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
Healthcare AI Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
Interdisciplinary Program in Medical Informatics, Seoul National University, Seoul, Republic of Korea
raw_author_name: Hyung-Chul Lee
raw_affiliation_strings: Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
Department of Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
Department of Transdisciplinary Medicine, Seoul National University Hospital, Seoul, Republic of Korea
Healthcare AI Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
Interdisciplinary Program in Medical Informatics, Seoul National University, Seoul, Republic of Korea
raw_author_name: Gang Heo
raw_affiliation_strings: Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
raw_author_name: Jae Hoon Jeong
raw_affiliation_strings: Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
raw_author_name: Jipyeong Lee
raw_affiliation_strings: Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
Healthcare AI Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
raw_author_name: Hyeonhoon Lee
raw_affiliation_strings: Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
Department of Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
Department of Transdisciplinary Medicine, Seoul National University Hospital, Seoul, Republic of Korea
Healthcare AI Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
Interdisciplinary Program in Medical Informatics, Seoul National University, Seoul, Republic of Korea
raw_author_name: Sang-Youn Park
raw_affiliation_strings: Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
raw_author_name: Karam Nam
raw_affiliation_strings: Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
raw_author_name: Ho-Jin Lee
raw_affiliation_strings: Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
Department of Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
Department of Transdisciplinary Medicine, Seoul National University Hospital, Seoul, Republic of Korea
Healthcare AI Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
Interdisciplinary Program in Medical Informatics, Seoul National University, Seoul, Republic of Korea
raw_author_name: Jae-Woo Ju
raw_affiliation_strings: Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea. jujw701@gmail.com