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
Director, Tsui Laboratory, Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia
Science Director, Biomedical Informatics Program, Department of Anesthesiology and Critical Care Medicine,, Children's Hospital of Philadelphia
Scientist, Endowed Chair in Biomedical Informatics and Entrepreneurial Science, Children's Hospital of Philadelphia
Senior Fellow, Penn Institute for Biomedical Informatics (IBI)
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.
Description of Research Expertise
Dr. Tsui's research interest includes clinical informatics, natural language processing, artificial intelligence and machine learning, population informatics, data science, data engineering, mobile healthcare, data warehouse, and large real-time clinical production systems. He has published 100+ peer-reviewed papers and has been working in healthcare field for more than 25 years.To translate academic research into clinical practice, Dr. Tsui has directed several projects for real-time patient risk prediction by integrating hospital EHR systems and predictive modeling, e.g., the Cardiac Intensive Care Warning Index (C-WIN), the Infant Mortality Prediction System with Intervention Management (IMPreSIv), and the System for Hospital Adaptive Readmission Prediction and Management (SHARP). He was one of funding members of the Real-time Outbreak and Disease Surveillance (RODS) system and the National Retail Data Monitor (NRDM) system at the University of Pittsburgh.
Dr. Tsui teaches the course of “Introduction to Biomedical and Health Informatics” at the Perelman School of Medicine, University of Pennsylvania. He has served as a dissertation advisor of doctoral students and a mentor of post-doctoral fellows and junior faculty members.
Dr. Tsui’s Laboratory (www.tsuilab.com) at the Children’s Hospital of Philadelphia and the University of Pennsylvania has been hosting international visiting scholars from different countries to work on various biomedical informatics research projects. His laboratory welcome (international) visiting scholars and research collaboration.
Selected Publications
Han S, Shi L, Kingsbury P, and Tsui FR: Enhanced Entity Matching between PubMed Authors and Research Institute’s Employees using Machine Learning. IEEE Access December 2025 Notes: In press; https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11289475.Paul BT, Greeno C, Ryan ND, Tsui FR, Gibbons RD, Porta G, Joiner T, Brent D: A Prospective Examination of the Predictive Validity of Three Transdiagnostic Assessments of Risk for Suicidal Behavior: Psychache, the Interpersonal Theory of Suicide, and Reasons for Living. Journal of the American Academy of Child & Adolescent Psychiatry (JAACAP) November 2025 Notes: https://doi.org/10.1016/j.jaac.2025.11.010.
Silva L, Anderson D, Senthil K, Herrmann J, Starr J, Mason M, Morton S, Kilbaugh T, Morgan R, Tsui F, Ko T: Lactate-Pyruvate Ratio is Associated with Noninvasive Optical Measures of Cerebral Oxygenation in an Experimental Pediatric Model of Cardiac Arrest. Circulation 152(Suppl_3), November 2025.
Silva LEV, Chen CC, Press CA, Graham K, Shi L, Abend NS, Morgan RW, Topjian A, Tsui FR, Kirschen MP: Pediatric cardiac arrest outcome prediction using data-driven machine learning of early quantitative electroencephalogram (qEEG) features. Resuscitation Oct 2025 Notes: doi: 10.1016/j.resuscitation.2025.110854.
Visoki E, Moore TM, Ruiz VM, Fein JA, Calkins ME, Gur RC, Benton TD, Gur RE, Tsui FR, Barzilay R: Prediction of adolescent suicide attempt by integrating clinical, neurocognitive and geocoded neighborhood environment data. Schizophrenia Bulletin. Oxford University Press, 51(4): 895-905, July 2025 Notes: https://doi.org/10.1093/schbul/sbaf064.
Wachtendorf LJ, Xu X, Padiyath A, Simpao AF, Tsui FR, and Ma H: Artificial Intelligence and Machine Learning in Perioperative Monitoring. Cambridge Scholars Publishing. Liu H and Kaye AD (eds.). June 2025 Notes: ISBN: 978-1-0364-4063-3.
Kumar R, Skowno J, von Ungern‑Sternberg BS, Davidson A, Xu T, Zhang J,· Song X, Zhang M, Zhao P, Liu H, Jiang Y, Zuo Y, de Graaff JC, Vutskits L, Olbrecht VA, Szmuk P, Simpao AF, Tsui FR, Pratap JN, Padiyath A, Nelson O, Kurth CD, Yuan I, BRAIN Collaborative Investigators: Quantitative electroencephalogram and machine learning to predict expired sevoflurane concentration in infants. Journal of Clinical Monitoring and Computing May 2025 Notes: doi.org/10.1007/s10877-025-01301-2.
Tsui FR, Ruiz V, Shi L, Willet R, Goldsmith M: Predicting deterioration of single-ventricle patients in intensive care using bedside monitor data. Critical Care Medicine. LWW, 53(1), Jan. 2025.
Napolitano N, An Y, Kelly NA, Mehta S, Tsui FR, Nishisaki A: Predicting noninvasive failure in children with a risk failure model. Critical Care Medicine. LWW, 53(1), Jan. 2025.
Han S, Shi L, and Tsui RF: Enhancing semantical text understanding with fine-tuned large language models: a case study on Quora question pair duplicate identification. PLOS ONE 20(1), Jan. 2025 Notes: doi: 10.1371/journal.pone.0317042.