Fuchiang (Rich) Tsui, PhD, FAMIA, IEEE Senior Member
Associate 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
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. 1 2025.Hyde E, Mehta S, Tsui FR, Chen C, Silva LEV, Nadkarni V, Napolitano N, Shepard L, Bruins B, Kirschen M, Topjian A, McGovern EL, Nickel A, Dominick C, Nishisaki A: Novel predicting model for pediatric bag mask ventilation breath quality using capnography waveforms. Critical Care Medicine. LWW, 53(1), Jan. 1 2025.
Mehta S, Tweedy E, Shi L, Ruiz V, Nishisaki A, Morgan R, Sutton R, Tsui FR: Development and validation of a pediatric ICU deterioration prediction model using machine learning. Critical Care Medicine. LWW, 53(1), Jan. 1 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. 1 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. 10 2025 Notes: doi: 10.1371/journal.pone.0317042.
Gaudio HA, Padmanabhan V, Landis WP, Silva LEV, Slovis J, Starr J, Weeks MK, Widmann NJ, Forti RM, Laurent GH, Ranieri NR, Mi F, Degani RE, Hallowell T, Delso N, Calkins H, Dobrzynski C, Haddad S, Kao SH, Hwang M, Shi L, Baker WB, Tsui F, Morgan RW, Kilbaugh TJ, Ko TS: A novel translational bioinformatics framework for facilitating multimodal data analyses in preclinical models of neurological injury. Scientific reports 14(1), December 2024 Notes: doi: 10.1038/s41598-024-79973-0.
Silva LEV, Gaudio H, Widmann N, Forti RM, Padmanabhan V, Senthil K, Slovis JC, Mavroudis CD, Lin Y, Shi L, Baker WB, Morgan RW, Kilbaugh TJ, Tsui F, Ko TS: Amplitude spectrum area is dependent on the electrocardiogram magnitude: evaluation of different normalization approaches. Physiological Measurement Nov. 2024 Notes: DOI: 10.1088/1361-6579/ad9233.
Tsui FR, Ruiz VM, Ryan ND, Shi L, Melhem NM, Young J, Davis M, Gibbons R, Brent DA: Risk for suicide attempts using the Patient Health Questionnaire-9 Modified for Teens. JAMA Network Open 7(10), Oct. 2024 Notes: doi: 10.1001/jamanetworkopen.2024.38144.
Nelson O, Wu L, Berger JA, Yuan I, Padiyath A, Stricker PA, Tsui FR, Simpao AF: A retrospective observational study of post-induction low systolic blood pressure and associated patient and perioperative factors in infants undergoing general anesthesia for inguinal hernia repair. Anesthesia Research. MDPI, 1(2): 80-90, July 2024 Notes: doi.org/10.3390/anesthres1020009.
Han S, Richie R, Shi L, Tsui FR: Automated matchmaking of researcher biosketches and funder requests for proposals using deep neural networks. IEEE Access 12: 98096-98106, July 2024.