Yanshan Wang, PhD, FAMIA is Assistant Professor and Vice Chair of Research within the Department of Health Information Management, University of Pittsburgh. His research interests focus on artificial intelligence (AI), natural language processing (NLP), machine learning, and deep learning methodologies and applications in healthcare. His research goal is to leverage different dimensions of data and data-driven computational approaches to meet the needs of clinicians, researchers, and patients. Prior to joining Pitt, Dr. Wang was Assistant Professor in the Department of AI & Informatics at Mayo Clinic.
Research Interests
Clinical Natural Language Processing; Artificial Intelligence (Machine/Deep Learning) Applications in Healthcare
Representative Publications
- David Oniani, Jordan Hilsman, Yifan Peng, Ronald K. Poropatich, Jeremy C. Pamplin, Gary L. Legault, Yanshan Wang. Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare. npj Digital Medicine 6, no. 1 (2023): 225.
- Sonish Sivarajkumar, Yufei Huang, Yanshan Wang. Fair patient model: Mitigating bias in the patient representation learned from the electronic health records. Journal of Biomedical Informatics, Vol. 148, 2023.
- David Oniani, Sreekanth Sreekumar, Renuk DeAlmeida, Dinuk DeAlmeida, Vivian Hui, Young Ji Lee, Yiye Zhang, Leming Zhou, Yanshan Wang. Towards Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models. AMIA Informatics Summit. 2023.
- Hunter Osterhoudt, Courtney E. Schneider, Haneef A. Mohammad, Minmei Shih, Alexandra E. Harper, Leming Zhou, Elizabeth R. Skidmore, Yanshan Wang. Automated Fidelity Assessment for Strategy Training in Inpatient Rehabilitation using Natural Language Processing. AMIA Informatics Summit. 2023.
- Sonish Sivarajkumar, Yanshan Wang. HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural Language Processing. AMIA 2022 Annual Symposium. 2022. [ Best Student Paper Finalist]
- David Oniani, Bambang Parmanto, Andi Saptono, Allyn Bove, Janet Freburger, Shyam Visweswaran, Nickie Cappella, Brian McLay, Jonathan C Silverstein, Michael J Becich, Anthony Delitto, Elizabeth Skidmore, Yanshan Wang. ReDWINE: A clinical datamart with text analytical capabilities to facilitate rehabilitation research. International Journal of Medical Informatics 177 (2023): 105144.
- Oniani, David, Premkumar Chandrasekar, Sonish Sivarajkumar, Yanshan Wang. Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks: Algorithm Development and Validation Study. JMIR AI 2 (2023): e44293.