Peer-reviewedCC BYDiagnostics (Basel, Switzerland)
Bridging the Artificial Intelligence Translation Gap in Perioperative Pulmonary and Respiratory Complications: A Practical Framework for Institution-Level Implementation
- 1Big Data Center, Chuncheon Sacred Heart Hospital, College of Medicine, Hallym University, Chuncheon 24253, Republic of Korea; (J.-Y.L.); (J.-H.K.)
- 2Institute of New Frontier Research, College of Medicine, Hallym University, Chuncheon 24253, Republic of Korea;
- 3Department of Anesthesiology and Pain Medicine, Chuncheon Sacred Heart Hospital, College of Medicine, Hallym University, Chuncheon 24253, Republic of Korea;
Related
- Artificial intelligence and machine learning for prediction of postoperative complications: A systematic review focused on anesthesiology, perioperative risk stratification, and clinical applicability.
- Clinical translation of artificial intelligence in musculoskeletal care: a systematic review of current applications, evidence gaps, and implementation readiness
- Association between Perioperative Blood Glucose Levels and Wound Complications in Diabetic Patients Undergoing Adult Spinal Deformity Surgery: A Retrospective Cohort Study
- Perioperative Anaphylaxis and Respiratory Failure During AVF Surgery in an End‐Stage Renal Disease Patient
- Comparing perioperative complications and recovery outcomes of neuraxial versus general anesthesia in hip fracture surgery: A systematic review and meta-analysis.
BibTeX
@article{lee2026bridging,
title = {{Bridging the Artificial Intelligence Translation Gap in Perioperative Pulmonary and Respiratory Complications: A Practical Framework for Institution-Level Implementation}},
author = {Ji-Yeon Lee and Yong-Ho In and Jong-Ho Kim and Sung-Mi Hwang and Jae-Jun Lee and Young-Suk Kwon},
journal = {Diagnostics (Basel, Switzerland)},
year = {2026},
month = sep,
url = {https://europepmc.org/article/PMC/PMC13664301},
note = {CC BY},
}
RIS
TY - JOUR
TI - Bridging the Artificial Intelligence Translation Gap in Perioperative Pulmonary and Respiratory Complications: A Practical Framework for Institution-Level Implementation
AU - Ji-Yeon Lee
AU - Yong-Ho In
AU - Jong-Ho Kim
AU - Sung-Mi Hwang
AU - Jae-Jun Lee
AU - Young-Suk Kwon
PY - 2026
DA - 2026/09/23
JO - Diagnostics (Basel, Switzerland)
UR - https://europepmc.org/article/PMC/PMC13664301
SN - 2075-4418
ER -