Betina Ross S. Idnay

According to our database, Betina Ross S. Idnay authored at least 19 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Closing the gap between open source and commercial large language models for medical evidence summarization.

Gongbo Zhang, Qiao Jin, Yiliang Zhou, Song Wang, Betina Idnay, Yiming Luo, Elizabeth Park, Jordan G. Nestor, Matthew E. Spotnitz, Ali Soroush, Thomas Campion, Zhiyong Lu, Chunhua Weng, Yifan Peng

npj Digit. Medicine, 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

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

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

Environment Scan of Generative AI Infrastructure for Clinical and Translational Science.

Betina Idnay, Zihan Xu, William G. Adams, Mohammad Adibuzzaman, Nicholas R. Anderson, Neil Bahroos, Douglas S. Bell, Cody Bumgardner, Thomas R. Campion Jr., Victor M. Castro, James J. Cimino, I. Glenn Cohen, David A. Dorr, Peter L. Elkin, Jungwei W. Fan, Todd Ferris, David J. Foran, David A. Hanauer, Mike Hogarth, Kun Huang, Jayashree Kalpathy-Cramer, Manoj Kandpal, Niranjan S. Karnik, Avnish Katoch, Albert M. Lai, Christophe G. Lambert, Lang Li, Christopher Lindsell, Jinze Liu, Zhiyong Lu, Yuan Luo, Peter McGarvey, Eneida A. Mendonça, Parsa Mirhaji, Shawn N. Murphy, John D. Osborne, Ioannis Ch. Paschalidis, Paul A. Harris, Fred W. Prior, Nicholas J. Shaheen, Nawar Shara, Ida Sim, Umberto Tachinardi, Lemuel R. Waitman, Rosalind J. Wright, Adrian H. Zai, Kai Zheng, Sandra Soo-Jin Lee, Bradley A. Malin, Karthik Natarajan, W. Nicholson Price, Rui Zhang, Yiye Zhang, Hua Xu, Jiang Bian, Chunhua Weng, Yifan Peng

CoRR, 2024

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

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

2023

The suitability of UMLS and SNOMED-CT for encoding outcome concepts.

Abigail Newbury, Hao Liu, Betina Ross S. Idnay, Chunhua Weng

J. Am. Medical Informatics Assoc., November, 2023

A data-driven approach to optimizing clinical study eligibility criteria.

Yilu Fang, Hao Liu, Betina Ross S. Idnay, Casey N. Ta, Karen Marder, Chunhua Weng

J. Biomed. Informatics, June, 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, March, 2023

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, Greg Durrett, Justin F. Rousseau, Chunhua Weng, Yifan Peng

npj Digit. Medicine, 2023

2022

Improving Eligibility Prescreening for Alzheimer's Disease and Related Dementias Clinical Trials with Natural Language Processing

Betina Ross S. Idnay

PhD thesis, 2022

Combining human and machine intelligence for clinical trial eligibility querying.

Yilu Fang, Betina Ross S. Idnay, Yingcheng Sun, Hao Liu, Zhehuan Chen, Karen Marder, Hua Xu, Rebecca Schnall, Chunhua Weng

J. Am. Medical Informatics Assoc., 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, Zhehuan Chen, Rebecca Schnall, Chunhua Weng

Proceedings of the AMIA 2022, 2022

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

Proceedings of the AMIA 2022, 2022

2021

The COVID-19 Trial Finder.

Yingcheng Sun, Alex M. Butler, Fengyang Lin, Hao Liu, Latoya A. Stewart, Jae Hyun Kim, Betina Ross S. Idnay, Qingyin Ge, Xinyi Wei, Cong Liu, Chi Yuan, Chunhua Weng

J. Am. Medical Informatics Assoc., 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

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, Rebecca Schnall

Int. J. Medical Informatics, 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, Cong Liu, Chi Yuan, Chunhua Weng

Proceedings of the Public Health and Informatics, 2021

Cognitive Function Characterization Using Electronic Health Records Notes.

Adrienne Pichon, Betina Ross S. Idnay, Rebecca Schnall, Karen Marder, Chunhua Weng

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021