Generating Training Data for Concept-Mining for an 'Interface Terminology' Annotating Cardiology EHRs. - Vipina Kuttichi Keloth; Shuxin Zhou; Andrew J. Einstein; Gai Elhanan; Yan Chen 009; James Geller; Yehoshua Perl (BIBM, 2020)

Mining Concepts for a COVID Interface Terminology for Annotation of EHRs. - Vipina Kuttichi Keloth; Shuxin Zhou; Luke Lindemann; Gai Elhanan; Andrew J. Einstein; James Geller; Yehoshua Perl (IEEE BigData, 2020)

Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry. - Richard Ríos; Robert J. H. Miller; Nipun Manral; Tali Sharir; Andrew J. Einstein; Mathews Fish; Terrence D. Ruddy; Philipp A. Kaufmann; Albert J. Sinusas; Edward J. Miller; Timothy M. Bateman; Sharmila Dorbala; et al. (Comput. Biol. Medicine, 2022)

Using annotation for computerized support for fast skimming of cardiology electronic health record notes. - Mahshad Koohi H. Dehkordi; Andrew J. Einstein; Shuxin Zhou; Gai Elhanan; Yehoshua Perl; Vipina Kuttichi Keloth; James Geller; Hao Liu 025 (BIBM, 2023)

Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging. - Konrad Pieszko; Aakash D. Shanbhag; Ananya Singh; M. Timothy Hauser; Robert J. H. Miller; Joanna X. Liang; Manish Motwani; Jacek Kwiecinski; Tali Sharir; Andrew J. Einstein; Mathews Fish; Terrence D. Ruddy; et al. (npj Digit. Medicine, 2023)

Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients. - Vipina Kuttichi Keloth; Shuxin Zhou; Luke Lindemann; Ling Zheng; Gai Elhanan; Andrew J. Einstein; James Geller; Yehoshua Perl (BMC Medical Informatics Decis. Mak., 2023)

Enhancing patient Comprehension: An effective sequential prompting approach to simplifying EHRs using LLMs. - Mahshad Koohi H. Dehkordi; Shuxin Zhou; Yehoshua Perl; Fadi P. Deek; Andrew J. Einstein; Gai Elhanan; Zhe He 001; Hao Liu 025 (BIBM, 2024)

Using clinical entity recognition for curating an interface terminology to aid fast skimming of EHRs. - Navya Martin Kollapally; Mahshad Koohi H. Dehkordi; Yehoshua Perl; James Geller; Fadi P. Deek; Hao Liu 025; Vipina Kuttichi Keloth; Gai Elhanan; Andrew J. Einstein; Shuxin Zhou (BIBM, 2024)

Skimming of Electronic Health Records Highlighted by an Interface Terminology Curated with Machine Learning Mining. - Mahshad Koohi H. Dehkordi; Navya Martin Kollapally; Yehoshua Perl; James Geller; Fadi P. Deek; Hao Liu 025; Vipina Kuttichi Keloth; Gai Elhanan; Andrew J. Einstein (BIOSTEC (2), 2024)

AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging. - Robert J. H. Miller; Aakash D. Shanbhag; Aditya Killekar; Mark Lemley; Bryan P. Bednarski; Serge D. Van Kriekinge; Paul Kavanagh; Attila Feher; Edward J. Miller; Andrew J. Einstein; Terrence D. Ruddy; Joanna X. Liang; et al. (npj Digit. Medicine, 2024)

Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction. - Anna M. Marcinkiewicz; Wenhao Zhang; Aakash D. Shanbhag; Robert J. H. Miller; Mark Lemley; Giselle Ramirez; Mikolaj Buchwald; Aditya Killekar; Paul Kavanagh; Attila Feher; Edward J. Miller; Andrew J. Einstein; et al. (npj Digit. Medicine, 2025)