My research revolves around NLP, Trustworthy AI, and AI for Health.
David Oniani, Jordan Hilsman, Yifan Peng, COL (Ret.) Ronald K. Poropatich, COL Jeremy C. Pamplin, LTC Gary L. Legault, Yanshan Wang. Adopting and Expanding Ethical Principles for Generative Artificial Intelligence From Military to Healthcare. npj Digital Medicine (2023).
David Oniani, Bambang Parmanto, Andi Saptono, Allyn Bove, Janet Freburger, Shyam Visweswaran, Jonathan Silverstein, Michael Becich, Anthony Delitto, Elizabeth Skidmore, Yanshan Wang. ReDWINE: A Clinical Datamart Prototype with Text Analytical Capabilities to Facilitate Rehabilitation Research. International Journal of Medical Informatics (2023).
David Oniani, 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 (2023).
David Oniani, Sreekanth Sreekumar, Renuk DeAlmeida, Dinuk DeAlmeida, Vivian Hui, Young Ji Lee, Yiye Zhang, Leming Zhou, Yanshan Wang. Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models. AMIA Informatics Summit (2023).
Anusha Bompelli, Yanshan Wang, Ruyuan Wan, Esha Singh, Yuqi Zhou, Lin Xu, David Oniani, Bhavani Singh Agnikula Kshatriya, Joyce (Joy) E. Balls-Berry, Rui Zhang. Social and Behavioral Determinants of Health in the Era of Artificial Intelligence with Electronic Health Records: A Scoping Review. Health Data Science (2021).
David Oniani, Yanshan Wang. A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19. ACM-BCB (2020).
David Oniani, Guoqian Jiang, Hongfang Liu, Feichen Shen. Constructing Co-occurrence Network Embeddings to Assist Association Extraction for COVID-19 and Other Coronavirus Infectious Diseases. JAMIA (2020).
Roman Yasinovskyy, Karina Hoff, David Oniani. Setting Up Python Development Environment for Use in a Small Classroom. MICS (2020).
Manuscripts Under Review
David Oniani, Jordan Hilsman, Hang Dong, Fengyi Gao, Shiven Verma, Yanshan Wang. Large Language Models Vote: Prompting for Rare Disease Identification. LREC-COLING (2023).
Mahyar Abbasian, Elahe Khatibi, Iman Azimi, David Oniani, Zahra Shakeri Hossein Abad, Alexander Thieme, Zhongqi Yang, Yanshan Wang, Bryant Lin, Olivier Gevaert, Li-Jia Li, Ramesh Jain, Amir M. Rahmani. Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI. npj Digital Medicine (2023).
Sonish Sivarajkumar, Haneef Ahamed Mohammad, David Oniani, Kirk Roberts, William Hersh, Hongfang Liu, Daqing He, Shyam Visweswaran, Yanshan Wang. Clinical Information Retrieval: A scoping review. Journal of Healthcare Informatics Research (2023).
Manuscripts In Preparation
David Oniani, Yanshan Wang. In-Context Learning Functions with Varying Number of Minima. In Preparation for ICML.
David Oniani, Junmei Wang, Jordan Hilsman, Chengxi Zang, Lianjin Cai, Jan Zawała, Yanshan Wang. Topic: Facilitating Drug Discovery Using Large Language Models. In Preparation for Nature Communications.
David Oniani, Ramesh Jain, Minal Moharir, Jia Li, Yanshan Wang, et al. Topic: Artificial Intelligence and Precision Nutrition. In Preparation for Nature Food.
Haneef Ahamed Mohammad, Sonish Sivarajkumar, Samual Viggiano, David Oniani, Shyam Visweswaran, Yanshan Wang. Extraction of Sleep Information from Clinical Notes of Alzheimer's Disease Patients Using Natural Language Processing. arXiv (2022).
David Oniani, Chen Wang, Yiqing Zhao, Andrew Wen, Hongfang Liu, Feichen Shen. Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features. arXiv (2021).
David Oniani, Chen Wang, Yiqing Zhao, Andrew Wen, Hongfang Liu, Feichen Shen. Leveraging a Joint of Phenotypic and Genetic Features on Cancer Patient Subgrouping. arXiv (2021).
David Oniani. Type Inference Rules For Container Types in CCL. (2019).
David Oniani. The Topology of Robotic Configuration and Motion Planning. (2019).