Fuchiang (Rich) Tsui, PhD, FAMIA, IEEE Senior Member
Professor of Anesthesiology and Critical Care at the Hospital of the University of Pennsylvania and the Children's Hospital of Philadelphia
Department: Anesthesiology and Critical Care
Contact information
Children's Hospital of Philadelphia
Department of Anesthesiology and Critical Care Medicine
Roberts Center for Pediatric Research
2716 South Street
Philadelphia, PA 19146
Department of Anesthesiology and Critical Care Medicine
Roberts Center for Pediatric Research
2716 South Street
Philadelphia, PA 19146
Office: 267-425-1294
Email:
tsuif@chop.edu
tsuif@chop.edu
Publications
Education
BS (Electrical Engineering)
Tatung University, Taipei, Taiwan, 1988.
MS (Electrical Engineering)
University of Pittsburgh, Pittsburgh, PA, 1993.
PhD (Electrical Engineering)
University of Pittsburgh, Pittsburgh, PA, 1996.
Permanent linkBS (Electrical Engineering)
Tatung University, Taipei, Taiwan, 1988.
MS (Electrical Engineering)
University of Pittsburgh, Pittsburgh, PA, 1993.
PhD (Electrical Engineering)
University of Pittsburgh, Pittsburgh, PA, 1996.
Selected Publications
Tweedy E, Mehta S, Grover S, Stinson H, Ruiz V, Sannino J, Nishisaki A, Tsui FR: PWIN: Prospective Evaluation of Realtime Deployment of a Machine Learning Model to Predict Critical Deterioration in the Pediatric ICU. Annual Symposium, American Medical Informatics Association (AMIA), Dallas, TX Nov. 2026.Tsui FR, Grover S, Han S, Tweedy E, Simpao AF, Iyer RS, Wake Up Safe Data Governance Committee, and Deshpande J: WAKE UP SAFE (Version 2): A National Adverse Event Case Reporting and Common Anesthesia Record Denominator Database (Anesthesia Informatics Initiatives). Annual Symposium, American Medical Informatics Association (AMIA), Dallas, TX Nov. 2026.
Grover S, Mehta S, Stinson H, Tweedy E, Sannino J, Bernstein M, Dinsick L, Nishisaki A, Tsui FR: PICU Aware: Real-time Situational Awareness Integrating Machine Learning Risk Prediction and Spatial Visualization in the Pediatric Intensive Care Unit. Annual Symposium, American Medical Informatics Association (AMIA), Dallas, TX Nov. 2026.
Tsui FR, Tweedy E, Ruiz V, Ryan ND, Barzilay R, Jones JD, Davis MF, Melhem N, Benton T, Young J, Brent D: Predicting Adolescent Suicide Attempts using PHQ-9 Modified for Teens and Structured Electronic Health Records. Annual Symposium, American Medical Informatics Association (AMIA), Dallas, TX Nov. 2026.
Ruiz VM, Asztalos IB, Silva LEV, Shi L, Iyer VM, Nash D, Vetter VL, Tsui FR: pedQTNet: A Deep Learning Approach to Estimate Corrected QT Intervals from Multi-Lead Conventional ECG Waveforms in Pediatric Patients. Journal of Medical Systems. Springer Nature, 50(1): 90, June 2026 Notes: doi: 10.1007/s10916-026-02386-1.
Tweedy E, Mehta S, Mai MCV, Ruiz V, Shi L, Shaeffer GP, Nishisaki A, Muthu N, Tsui FR: Early prediction of unplanned critical care transfers in children using EHR-based ensemble machine learning. Journal of American Medical Informatics Open 9(3), June 2026 Notes: doi: 10.1093/jamiaopen/ooag105.
Mehta S, Tweedy E, Shi H, Ruiz VM, Morgan R, Sutton RM, Nishisaki A, Tsui RT: Machine learning-based prediction of critical deterioration in the pediatric intensive care unit. Critical Care Explorations 8(4): e1397, April 2026 Notes: DOI: 10.1097/CCE.0000000000001397.
Jones JD, Penney C, Davis M, Barzilay R, Tweedy E, Tsui F, Young JF: Trends in Adolescent Depression and Suicide Risk Screening and Symptom Monitoring in a Large Care Network. ACADEMIC PEDIATRICS. ELSEVIER SCIENCE INC, 26(3), April 2026.
Guan H, Tsui FR, Hsueh S, and Zhou L: (Chapter 9) Bridging Theory and Practice: A Unified Framework for Evaluating AI in Healthcare and Biomedicine. Evaluating AI in Healthcare and Biomedicine: Foundations for Evidence-Based Decision Making in the Digital Age. Cresswell K, Prgomet M, and Weicken E (eds.). Springer Nature, March 2026 Notes: In presss.
Silva LEV, Gaudio HA, Padmanabhan V, Forti RM, Shi L, Mason M, Sueishi T, Kirschen MP, Baker WB, Kilbaugh TJ, Morgan RW, Tsui FR, Ko TS: Machine Learning-Based Return of Spontaneous Circulation Prediction During Cardiopulmonary Resuscitation in a Swine Model of Cardiac Arrest: Effect of Data Resolution and Multimodal Physiological Waveforms. Critical Care Medicine. LWW, 54(2): 257-269, February 2026.