Publications by authors named "Chu-Lin Tsai"

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Incidence, Predictors, and Outcomes of Emergency Surgery Following a Return Visit to the Emergency Department.
Tzung-Hsin Chou, Jiann-Hwa Chen, Hsiao-Chia Wang, Jun-Wan Gao, Cheng-Chung Fang, Chu-Lin Tsai

J Am Coll Emerg Physicians Open· December 2025

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Deep learning to predict emergency department revisit using static and dynamic features (Deep Revisit): development and validation study.
Su-Yin Hsu, Jhe-Yi Jhu, Jun-Wan Gao, Chien-Hua Huang, Chu-Lin Tsai

BioData Min· December 2025

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The Prognostic Accuracy of Frailty and Vulnerability Screening for Older Adults in the Emergency Department: A Systematic Review and Meta-analysis.
Nai-Wen Ku, Yu-Chi Hsu, Jasmine Mudhur, Juan Li, Nirusha Jebanesan, Chu-Lin Tsai

Ann Emerg Med· November 2025

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Factors associated with the provision of bystander cardiopulmonary resuscitation and outcomes across the Pan Asian communities.
Tsung-Chien Lu, Chih-Hung Wang, Fan-Ya Chou, Edward Pei-Chuan Huang, Ming-Ju Hsieh, Chu-Lin Tsai

Resuscitation· November 2025

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Grouping of Emergency Department-based Cardiac Arrest Patients According to Clinical Features to Assess Patient Outcomes.
Joshua Leow, Po-Chun Shih, Jun-Wan Gao, Chih-Hung Wang, Tsung-Chien Lu, Chu-Lin Tsai

West J Emerg Med· November 2025

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Using Machine Learning to Risk Stratify Emergency Department Patients With Chest Pain but No Acute Myocardial Infarction: A Multicenter Retrospective Analysis.
Eric H Chou, Tsung-Chien Lu, Yong-Tai Chiu, Fan-Ya Chou, Jeffrey Hamada, Chu-Lin Tsai

J Am Heart Assoc· September 2025

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Comparison of neuroprognostic performance between manually and automatically computed gray-white matter ratios on brain computed tomography following cardiac arrest: A systematic review and meta-analysis.
Chih-Hung Wang, Chu-Lin Tsai, Hua Li, Chin-Hua Su, Tou-Yuan Tsai

Neuroimage· August 2025

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Clinical and Economic Evaluation of a Real-Time Chest X-Ray Computer-Aided Detection System for Misplaced Endotracheal and Nasogastric Tubes and Pneumothorax in Emergency and Critical Care Settings: Protocol for a Cluster Randomized Controlled Trial.
Chu-Lin Tsai, Teresa Cheng-Chieh Chu, Chih-Hung Wang, Wei-Tien Chang, Min-Shan Tsai, Ming-Han Tsai

JMIR Res Protoc· August 2025

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The Effect of Pain on the Relationship Between Triage Acuity and Emergency Department Hospitalization Rate and Length of Stay.
Yan-He Lin, Nai-Wen Ku, Chia-Hsin Ko, Eric H Chou, Chih-Hung Wang, Chu-Lin Tsai

West J Emerg Med· July 2025

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Predicting COPD readmissions: a novel 2e index with traditional regression and machine-learning approaches.
Chiat Qiao Liew, Yen-Pin Chen, Jun-Wan Gao, Chia-Hsin Ko, Chu-Lin Tsai

Intern Emerg Med· June 2025

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Association between post-arrest 12-lead electrocardiographic features and neurologically intact survival for patients of in-hospital cardiac arrest.
Chih-Hung Wang, Cheng-Yi Wu, Joyce Tay, Meng-Che Wu, Li-Ting Ho, Chu-Lin Tsai

Intern Emerg Med· June 2025

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Population Attributable Fraction of Diabetes on the Risk of Gastrointestinal Cancers: Overall and by Specific Cancer Sites in a Cohort Study.
Shu-Lin Chuang, Teresa Cheng-Chieh Chu, Yi-Chen Juan, Ting-Chuan Wang, Yen-Yun Yang, Chu-Lin Tsai

Cancer Epidemiol Biomarkers Prev· June 2025

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Deep Learning-Based Instance Appraisable Model (EDi Pain) for Pain Estimation via Facial Videos: A Retrospective Analysis and a Prospective Emergency Department Study.
Yi-Cheng Yang, Wen-Hsiang Cheng, En-Ting Lin, An-Sheng Liu, Chia-Hsin Ko, Chu-Lin Tsai

J Imaging Inform Med· May 2025

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Developing Machine-Learning Models to Predict Bacteremia in Febrile Adults Presenting to the Emergency Department: A Retrospective Cohort Study from a Large Center.
Chia-Ming Fu, Ike Ngo, Pak Sheung Lau, Yaroslav Ivanchuk, Fan-Ya Chou, Chu-Lin Tsai

West J Emerg Med· May 2025

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Deep Learning-Based Model for Non-invasive Hemoglobin Estimation via Body Parts Images: A Retrospective Analysis and a Prospective Emergency Department Study.
En-Ting Lin, Shao-Chi Lu, An-Sheng Liu, Chia-Hsin Ko, Chien-Hua Huang, Chu-Lin Tsai

J Imaging Inform Med· April 2025

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Factors associated with overall and high-risk return visits to the emergency department: a vital sign trajectory approach.
Hsiao-Chia Wang, Cheng-Chung Fang, Chien-Hua Huang, Jun-Wan Gao, Jiann-Hwa Chen, Chu-Lin Tsai

BMC Emerg Med· April 2025

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Deep Learning-Based Electrocardiogram Model (EIANet) to Predict Emergency Department Cardiac Arrest: Development and External Validation Study.
Shao-Chi Lu, Guang-Yuan Chen, An-Sheng Liu, Jen-Tang Sun, Jun-Wan Gao, Chu-Lin Tsai

J Med Internet Res· February 2025

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Deep learning-based Emergency Department In-hospital Cardiac Arrest Score (Deep EDICAS) for early prediction of cardiac arrest and cardiopulmonary resuscitation in the emergency department.
Yuan-Xiang Deng, Jyun-Yi Wang, Chia-Hsin Ko, Chien-Hua Huang, Chu-Lin Tsai

BioData Min· November 2024

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External Validation and Comparison of Statistical and Machine Learning-Based Models in Predicting Outcomes Following Out-of-Hospital Cardiac Arrest: A Multicenter Retrospective Analysis.
Chih-Hung Wang, Joyce Tay, Cheng-Yi Wu, Meng-Che Wu, Pei-I Su, Chu-Lin Tsai

J Am Heart Assoc· October 2024

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Prognostic Impact of Heart Rhythm Shockability Trajectory in Out-of-Hospital Cardiac Arrest: A Multicenter Retrospective Study.
Chih-Hung Wang, Tsung-Chien Lu, Joyce Tay, Cheng-Yi Wu, Meng-Che Wu, Chu-Lin Tsai

Circ Cardiovasc Qual Outcomes· July 2024

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End-tidal Carbon Dioxide Trajectory-based Prognostication of Out-of-hospital Cardiac Arrest.
Chih-Hung Wang, Tsung-Chien Lu, Joyce Tay, Cheng-Yi Wu, Meng-Che Wu, Chu-Lin Tsai

West J Emerg Med· July 2024

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Impact of discordant pain assessment between patients and physicians on patient outcomes: a prospective emergency department study.
Yen-Kai Chen, Wei-Lun Wen, Hao-Ping Hsu, Chu-Lin Tsai,

Eur J Emerg Med· June 2024

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Interpretable Deep Learning System for Identifying Critical Patients Through the Prediction of Triage Level, Hospitalization, and Length of Stay: Prospective Study.
Yu-Ting Lin, Yuan-Xiang Deng, Chu-Lin Tsai, Chien-Hua Huang, Li-Chen Fu

JMIR Med Inform· April 2024

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A novel scale for triage assessment of frailty in the emergency department (ED-FraS): a prospective videotaped study.
Chiat Qiao Liew, Yun Chang Chen, Chih-Wei Sung, Chia-Hsin Ko, Nai-Wen Ku, Chu-Lin Tsai

BMC Geriatr· February 2024

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Development and External Validation of Clinical Features-based Machine Learning Models for Predicting COVID-19 in the Emergency Department.
Joyce Tay, Yi-Hsuan Yen, Kevin Rivera, Eric H Chou, Chih-Hung Wang, Tzu-Ping Tsai, Chu-Lin Tsai

West J Emerg Med· January 2024

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