Cognitive Function Characterization Using Electronic Health Records Notes. - Adrienne Pichon; Betina Ross S. Idnay; Rebecca Schnall; Karen Marder; Chunhua Weng (AMIA, 2021)

Participatory Design of a Clinical Trial Eligibility Criteria Simplification Method. - Yilu Fang; Jae Hyun Kim; Betina Ross S. Idnay; Rebeca Aragon Garcia; Carmen E. Castillo; Yingcheng Sun; Hao Liu 054; Cong Liu 020; Chi Yuan; Chunhua Weng (MIE, 2021)

Examining the Information Systems Success (ISS) of a mobile sexual health app (MyPEEPS Mobile) from the perspective of very young men who have sex with men (YMSM). - Evette Cordoba; Betina Ross S. Idnay; Robert Garofalo; Lisa M. Kuhns; Cynthia Pearson; Josh Bruce; D. Scott Batey; Asa Radix; Uri Belkind; Marco A. Hidalgo; Sabina Hirshfield; Rafael Garibay Rodriguez; et al. (Int. J. Medical Informatics, 2021)

A systematic review on natural language processing systems for eligibility prescreening in clinical research. - Betina Ross S. Idnay; Caitlin N. Dreisbach; Chunhua Weng; Rebecca Schnall (J. Am. Medical Informatics Assoc., 2021)

The COVID-19 Trial Finder. - Yingcheng Sun; Alex M. Butler; Fengyang Lin; Hao Liu 054; Latoya A. Stewart; Jae Hyun Kim; Betina Ross S. Idnay; Qingyin Ge; Xinyi Wei; Cong Liu 020; Chi Yuan; Chunhua Weng (J. Am. Medical Informatics Assoc., 2021)

Optimizing Clinical Research Eligibility Prescreening: An Iterative Usability Evaluation of an NLP-driven Cohort Identification Tool. - Betina Ross S. Idnay; Yilu Fang; Caitlin N. Dreisbach; Karen Marder; Chunhua Weng; Rebecca Schnall (AMIA, 2022)

Criteria2Query 2.0: Combining Machine Efficiency and Human Intelligence to Define a More Accurate and Feasible Cohort for Clinical Trial Recruitment. - Betina Ross S. Idnay; Yilu Fang; Yingcheng Sun; Hao Liu 054; Zhehuan Chen; Rebecca Schnall; Chunhua Weng (AMIA, 2022)

Combining human and machine intelligence for clinical trial eligibility querying. - Yilu Fang; Betina Ross S. Idnay; Yingcheng Sun; Hao Liu 054; Zhehuan Chen; Karen Marder; Hua Xu 001; Rebecca Schnall; Chunhua Weng (J. Am. Medical Informatics Assoc., 2022)

Improving Eligibility Prescreening for Alzheimer's Disease and Related Dementias Clinical Trials with Natural Language Processing - Betina Ross S. Idnay (2022)

Evaluating large language models on medical evidence summarization. - Liyan Tang; Zhaoyi Sun; Betina Ross S. Idnay; Jordan G. Nestor; Ali Soroush; Pierre A. Elias; Ziyang Xu; Ying Ding 001; Greg Durrett; Justin F. Rousseau; Chunhua Weng; Yifan Peng 002 (npj Digit. Medicine, 2023)

Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: An iterative usability assessment. - Betina Ross S. Idnay; Yilu Fang; Caitlin N. Dreisbach; Karen Marder; Chunhua Weng; Rebecca Schnall (Int. J. Medical Informatics, 2023)

A data-driven approach to optimizing clinical study eligibility criteria. - Yilu Fang; Hao Liu 054; Betina Ross S. Idnay; Casey N. Ta; Karen Marder; Chunhua Weng (J. Biomed. Informatics, 2023)

The suitability of UMLS and SNOMED-CT for encoding outcome concepts. - Abigail M. Newbury; Hao Liu 054; Betina Ross S. Idnay; Chunhua Weng (J. Am. Medical Informatics Assoc., 2023)

Harnessing the Power of Machine Learning and Electronic Health Records to Support Child Abuse and Neglect Identification in Emergency Department Settings. - Aviv Y. Landau; Ashley Blanchard; Paritosh Kulkarni; Shahad Althobaiti; Betina Idnay; Desmond Upton Patton; Kenrick Cato; Maxim Topaz (MIE, 2024)

Environment Scan of Generative AI Infrastructure for Clinical and Translational Science. - Betina Idnay; Zihan Xu; William G. Adams; Mohammad Adibuzzaman; Nicholas R. Anderson 001; Neil Bahroos; Douglas S. Bell; Cody Bumgardner; Thomas R. Campion Jr.; Victor M. Castro; James J. Cimino; I. Glenn Cohen; et al. (CoRR, 2024)

Sociotechnical feasibility of natural language processing-driven tools in clinical trial eligibility prescreening for Alzheimer's disease and related dementias. - Betina Ross S. Idnay; Jianfang Liu; Yilu Fang; Alex Hernandez; Shivani Kaw; Alicia Etwaru; Janeth Juarez Padilla; Sergio Ozoria Ramirez; Karen Marder; Chunhua Weng; Rebecca Schnall (J. Am. Medical Informatics Assoc., 2024)

Promoting equity in clinical research: The role of social determinants of health. - Betina Idnay; Yilu Fang; Edward Stanley; Brenda Ruotolo; Wendy K. Chung; Karen Marder; Chunhua Weng (J. Biomed. Informatics, 2024)

Criteria2Query 3.0: Leveraging generative large language models for clinical trial eligibility query generation. - Jimyung Park; Yilu Fang; Casey N. Ta; Gongbo Zhang; Betina Idnay; Fangyi Chen; David Feng; Rebecca Shyu; Emily R. Gordon; Matthew E. Spotnitz; Chunhua Weng (J. Biomed. Informatics, 2024)

Closing the gap between open source and commercial large language models for medical evidence summarization. - Gongbo Zhang; Qiao Jin 001; Yiliang Zhou; Song Wang 026; Betina Idnay; Yiming Luo; Elizabeth Park; Jordan G. Nestor; Matthew E. Spotnitz; Ali Soroush; Thomas Campion; Zhiyong Lu; et al. (npj Digit. Medicine, 2024)

Mini-mental status examination phenotyping for Alzheimer's disease patients using both structured and narrative electronic health record features. - Betina Idnay; Gongbo Zhang; Fangyi Chen; Casey N. Ta; Matthew W. Schelke; Karen Marder; Chunhua Weng (J. Am. Medical Informatics Assoc., 2025)

EvidenceOutcomes: a Dataset of Clinical Trial Publications with Clinically Meaningful Outcomes. - Yiliang Zhou; Abigail M. Newbury; Gongbo Zhang; Betina Ross S. Idnay; Hao Liu 054; Chunhua Weng; Yifan Peng 002 (CoRR, 2025)

Scalable Scientific Interest Profiling Using Large Language Models. - Yilun Liang; Gongbo Zhang; Edward Sun; Betina Idnay; Yilu Fang; Fangyi Chen; Casey N. Ta; Yifan Peng 002; Chunhua Weng (CoRR, 2025)