I-Min (Ray) Chiu

About Me

Hi! My name is I-Min Chiu, I am an Emergency Physician in the Department of Emergency Medicine at Kaohsiung Chang Gung Memorial Hospital and a PhD candidate in the Department of Computer Science and Engineering at National Sun Yat-sen University.

I work with my PhD advisor Prof. Chun-Hung Richard Lin on developing novel computational algorithms for electrical biosignal and biomedical imaging systems. In the meantime, I am a research scholar at Cedars-Sinai Medical Center working with Dr. David Ouyang on echocardiography.

Research Interests

• Computer Vision: image recognition, spatial transformation
• Machine Learning: deep learning on medical image, ultrasound guidance
• Critical Care Medicine: Emergency Medicine, Airway Management, Point-of-Care Ultrasound

Projects

• [Aug. 2022] Utilization of artificial neural network and transfer learning to predict dyskalemia based on ECG in patients receiving regular hemodialysis.
• [Jun. 2022] Development of artificial intelligence assisted ultrasound guidance system for abdominal aorta examination and aneurysm screeing.

Selected Publications

2022

• One-Class Machine-Learning Model to Screen for Dysglycemia Using Single Lead ECG in ICU, toward Noninvasive Blood Glucose Monitoring.
  Chiu, I. M., Cheng, C. Y., Chang, P. K., Li, C. J., Cheng, F. J., & Lin, C. H. R. (2022). Preprint.
• Development and validation of an end-to-end deep learning pipeline to measure pericardial effusion in echocardiograph.
  Wu, C. C., Cheng, C. Y., Chen, H. C., Hung, C. H., Chen, T. Y., Lin, C. H. R., & Chiu, I. M. (2022). Preprint.
• Machine learning models for predicting in-hospital mortality in patient with sepsis: Analysis of vital sign dynamics.
  C. Y. Cheng, C. T. Kung, F. C. Chen, I. M. Chiu, C. H. Lin, C. C. Chu, C. F. Kung, and C. M. Su.
  Front Med (Lausanne). 2022 Oct 20;9:964667
• Clinical Validation of the Shock Index, Modified Shock Index, Delta Shock Index, and Shock Index-C for Emergency Department ST-Segment Elevation Myocardial Infarction.
  Chiang CY, Lin CF, Liu PH, Chen FC, Chiu IM, Cheng FJ. J Clin Med. 2022 Oct 1;11(19):5839.

2021

• Using a Multiclass Machine Learning Model to Predict the Outcome of Acute Ischemic Stroke Requiring Reperfusion Therapy.
  Chiu IM, Zeng WH, Cheng CY, Chen SH, Lin CR. Diagnostics (Basel). 2021 Jan 6;11(1):80.
• Using Machine Learning to Predict Invasive Bacterial Infections in Young Febrile Infants Visiting the Emergency Department
  Chiu IM, Cheng CY, Zeng WH, Huang YH, Lin CR.
  J Clin Med. 2021 Apr 26;10(9):1875.
• Pre-hospital Prognostic Factors of Out-of-Hospital Cardiac Arrest: The Difference Between Pediatric and Adult
  Cheng FJ, Wu WT, Hung SC, Ho YN, Tsai MT,Chiu IM, Wu KH.
  Frontiers in Pediatrics. 2021 ;9:723327.
• Machine Learning Models for Survival and Neurological Outcome Prediction of Out-of-Hospital Cardiac Arrest Patients
  Cheng CY, Chiu IM, Zeng WH, Tsai CM, Lin CR. Biomed Res Int. 2021 Sep 17;2021:9590131.
• Shock Index, Pediatric Age-adjusted Predicts Morbidity and Mortality in Children Admitted to the Intensive Care Unit
  Huang KC, Yang Y, Li CJ, Cheng FJ, Huang YH, Chuang PC, Chiu IM.
  Front Pediatr. 2021 Sep 28;9:727466.
• Deep Learning Assisted Detection of Abdominal Free Fluid in Morison’s Pouch during Focused Assessment with Sonography in Trauma
  Cheng C-Y, Chiu I-M, Hsu M-Y, Pan H-Y, Tsai C-M and Lin C-HR Front. Med. 2021 Sep 8:707437.

2020

• Using machine learning to predict bacteremia in febrile children presented to the emergency department
  Tsai CM, Lin CR, Zhang H, Chiu IM, Cheng CY, Yu HR, Huang YH.
  Diagnostics (Basel). 2020 May 15;10(5):307.
• Self-screening to reduce medical resource consumption facing the COVID-19 pandemic
  Chiu, IM and Cheng, CY and Zhang, H and Lin, CH Emergency Medicine Journal 2020;37:255.
• The influence of crowding on clinical practice in the emergency department
  Chiu IM, Lin YR, Syue YJ, Kung CT, Wu KH, Li CJ. Am J Emerg Med. 2018 Jan;36(1):56-60.

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