A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19. - David Oniani; Yanshan Wang (BCB, 2020)

Constructing co-occurrence network embeddings to assist association extraction for COVID-19 and other coronavirus infectious diseases. - David Oniani; Guoqian Jiang; Hongfang Liu; Feichen Shen (J. Am. Medical Informatics Assoc., 2020)

Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features. - David Oniani; Chen Wang 001; Yiqing Zhao; Andrew Wen; Hongfang Liu; Feichen Shen (CoRR, 2021)

Social determinants of health in the era of artificial intelligence with electronic health records: A systematic review. - Anusha Bompelli; Yanshan Wang; Ruyuan Wan; Esha Singh; Yuqi Zhou; Lin Xu; David Oniani; Bhavani Singh Agnikula Kshatriya; Joyce E. Balls-Berry; Rui Zhang 028 (CoRR, 2021)

Leveraging a Joint of Phenotypic and Genetic Features on Cancer Patient Subgrouping. - David Oniani; Chen Wang 001; Yiqing Zhao; Andrew Wen; Hongfang Liu; Feichen Shen (CoRR, 2021)

Extraction of Sleep Information from Clinical Notes of Alzheimer's Disease Patients Using Natural Language Processing. - Haneef Ahamed Mohammad; Sonish Sivarajkumar; Samual Viggiano; David Oniani; Shyam Visweswaran; Yanshan Wang (CoRR, 2022)

Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks. - David Oniani; Sonish Sivarajkumar; Yanshan Wang (CoRR, 2022)

Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models. - David Oniani; Sreekanth Sreekumar; Renuk DeAlmeida; Dinuk DeAlmeida; Vivian Hui; Young Ji Lee; Yiye Zhang; Leming Zhou; Yanshan Wang (CoRR, 2022)

From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence. - David Oniani; Jordan Hilsman; Yifan Peng; Ronald K. Poropatich; Jeremy C. Pamplin; Gary L. Legault; Yanshan Wang (CoRR, 2023)

Large Language Models Vote: Prompting for Rare Disease Identification. - David Oniani; Jordan Hilsman; Hang Dong 007; Fengyi Gao; Shiven Verma; Yanshan Wang (CoRR, 2023)

Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI. - 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 001; Ramesh C. Jain; et al. (CoRR, 2023)

In-Context Learning Functions with Varying Number of Minima. - David Oniani; Yanshan Wang (CoRR, 2023)

Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare. - David Oniani; Jordan Hilsman; Yifan Peng 002; Ronald K. Poropatich; Jeremy C. Pamplin; Gary L. Legault; Yanshan Wang (npj Digit. Medicine, 2023)

ReDWINE: A clinical datamart with text analytical capabilities to facilitate rehabilitation research. - 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; et al. (Int. J. Medical Informatics, 2023)

Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines. - David Oniani; Xizhi Wu; Shyam Visweswaran; Sumit Kapoor; Shravan Kooragayalu; Katelyn Polanska; Yanshan Wang (ICHI, 2024)

Emerging Opportunities of Using Large Language Models for Translation Between Drug Molecules and Indications. - David Oniani; Jordan Hilsman; Chengxi Zang; Junmei Wang; Lianjin Cai; Jan Zawala; Yanshan Wang (CoRR, 2024)

Extraction of sleep information from clinical notes of Alzheimer's disease patients using natural language processing. - Sonish Sivarajkumar; Thomas Yu Chow Tam; Haneef Ahamed Mohammad; Samuel Viggiano; David Oniani; Shyam Visweswaran; Yanshan Wang (J. Am. Medical Informatics Assoc., 2024)

Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI. - Mahyar Abbasian; Elahe Khatibi; Iman Azimi; David Oniani; Zahra Shakeri Hossein Abad; Alexander Thieme; Ram Sriram; Zhongqi Yang; Yanshan Wang; Bryant Lin; Olivier Gevaert; Li-Jia Li 001; et al. (npj Digit. Medicine, 2024)

Clinical Information Retrieval: A Literature Review. - Sonish Sivarajkumar; Haneef Ahamed Mohammad; David Oniani; Kirk Roberts; William R. Hersh; Hongfang Liu; Daqing He; Shyam Visweswaran; Yanshan Wang (J. Heal. Informatics Res., 2024)