Vipina K. Keloth, PhD
Associate Research Scientist in Biomedical Informatics and Data ScienceCards
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Associate Research Scientist in Biomedical Informatics and Data Science
Biography
Dr. Vipina Keloth is an Associate Research Scientist at the Department of Biomedical Informatics and Data Science at Yale School of Medicine. Previously, she was a Postdoctoral Associate at Yale BIDS and prior to that a Postdoctoral Research Fellow at the School of Biomedical Informatics at the University of Texas Health Science Center at Houston. Vipina graduated with a doctoral degree in Computer Science from New Jersey Institute of Technology (NJIT) in 2021. She has also worked as an assistant lecturer in the Department of Mathematical and Computational Sciences at the National Institute of Technology Karnataka, India. Her research interests lie broadly in the domain of biomedical ontologies/terminologies and clinical and biomedical natural language processing.
Appointments
Biomedical Informatics & Data Science
Associate Research ScientistPrimary
Other Departments & Organizations
- Biomedical Informatics & Data Science
- Clinical NLP Lab
Education & Training
- Postdoctoral Associate
- Yale University (2024)
- Postdoctoral Research Fellow
- University of Texas Health Science Center at Houston (2023)
- PhD
- New Jersey Institute of Technology, Computer Science (2021)
- MS
- National Institute of Technology Karnataka, Systems Analysis and Computer Applications (2014)
- MSc
- Mahatma Gandhi University, Computer Applications (2010)
- BS
- Kannur University, Physics (2007)
Research
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Overview
Medical Research Interests
ORCID
0000-0001-6919-1122
Research at a Glance
Yale Co-Authors
Publications Timeline
Research Interests
Hua Xu, PhD
Qingyu Chen, PhD
Kalpana Raja, PhD, MRSB, CSci
Aline Pedroso, PhD
Cynthia Brandt, MD, MPH
Hamita Sachar, MD
Biological Ontologies
Natural Language Processing
Social Determinants of Health
Publications
2026
Information extraction from clinical notes: are we ready to switch to large language models?
Hu Y, Zuo X, Zhou Y, Peng X, Huang J, Keloth V, Zhang V, Weng R, Shyr C, Chen Q, Jiang X, Roberts K, Xu H. Information extraction from clinical notes: are we ready to switch to large language models? Journal Of The American Medical Informatics Association 2026, 33: 553-562. PMID: 41533750, PMCID: PMC12981642, DOI: 10.1093/jamia/ocaf213.Peer-Reviewed Original ResearchCitations
2025
Scientific Writing in the Era of Large Language Models: A Computational Analysis of AI- Versus Human-Created Content
Khera R, Pedroso A, Keloth V, Xu H, Silva G, Schwamm L. Scientific Writing in the Era of Large Language Models: A Computational Analysis of AI- Versus Human-Created Content. Stroke 2025, 56: 3078-3083. PMID: 40814778, DOI: 10.1161/strokeaha.125.051913.Peer-Reviewed Original ResearchCitationsAltmetricImproving Large Language Models’ Summarization Accuracy by Adding Highlights to Discharge Notes: Comparative Evaluation
Dehkordi M, Perl Y, Deek F, He Z, Keloth V, Liu H, Elhanan G, Einstein A. Improving Large Language Models’ Summarization Accuracy by Adding Highlights to Discharge Notes: Comparative Evaluation. JMIR Medical Informatics 2025, 13: e66476. PMID: 40705416, PMCID: PMC12332456, DOI: 10.2196/66476.Peer-Reviewed Original ResearchCitationsAltmetricOntology enrichment using a large language model: Applying lexical, semantic, and knowledge network-based similarity for concept placement
Kollapally N, Geller J, Keloth V, He Z, Xu J. Ontology enrichment using a large language model: Applying lexical, semantic, and knowledge network-based similarity for concept placement. Journal Of Biomedical Informatics 2025, 168: 104865. PMID: 40543734, PMCID: PMC12371725, DOI: 10.1016/j.jbi.2025.104865.Peer-Reviewed Original ResearchCitationsDeveloping and sustaining inclusive language in biomedical informatics communications: an AMIA Board of Directors endorsed paper on the Inclusive Language and Context Style Guidelines
Bear Don't Walk O, Haldar S, Wei D, Huang H, Rivera R, Fan J, Keloth V, Leung T, Desai P, Korngiebel D, Grossman Liu L, Pichon A, Subbian V, Solomonides A, Wiley L, Ogunyemi O, Jackson G, Dankwa-Mullan I, Dirks L, Everhart A, Parker A, Iott B, Kronk C, Foraker R, Martin K, Anand T, Volpe S, Yung N, Rizvi R, Lucero R, Bright T. Developing and sustaining inclusive language in biomedical informatics communications: an AMIA Board of Directors endorsed paper on the Inclusive Language and Context Style Guidelines. Journal Of The American Medical Informatics Association 2025, 32: 1380-1387. PMID: 40523007, PMCID: PMC12277697, DOI: 10.1093/jamia/ocaf096.Peer-Reviewed Original ResearchCitationsAltmetricSocial determinants of health extraction from clinical notes across institutions using large language models
Keloth V, Selek S, Chen Q, Gilman C, Fu S, Dang Y, Chen X, Hu X, Zhou Y, He H, Fan J, Wang K, Brandt C, Tao C, Liu H, Xu H. Social determinants of health extraction from clinical notes across institutions using large language models. Npj Digital Medicine 2025, 8: 287. PMID: 40379919, PMCID: PMC12084648, DOI: 10.1038/s41746-025-01645-8.Peer-Reviewed Original ResearchCitationsAltmetricBenchmarking large language models for biomedical natural language processing applications and recommendations
Chen Q, Hu Y, Peng X, Xie Q, Jin Q, Gilson A, Singer M, Ai X, Lai P, Wang Z, Keloth V, Raja K, Huang J, He H, Lin F, Du J, Zhang R, Zheng W, Adelman R, Lu Z, Xu H. Benchmarking large language models for biomedical natural language processing applications and recommendations. Nature Communications 2025, 16: 3280. PMID: 40188094, PMCID: PMC11972378, DOI: 10.1038/s41467-025-56989-2.Peer-Reviewed Original ResearchCitationsAltmetricThe Development Landscape of Large Language Models for Biomedical Applications
Cao Z, Keloth V, Xie Q, Qian L, Liu Y, Wang Y, Shi R, Zhou W, Yang G, Zhang J, Peng X, Zhen E, Weng R, Chen Q, Xu H. The Development Landscape of Large Language Models for Biomedical Applications. Annual Review Of Biomedical Data Science 2025, 8: 251-274. PMID: 40169010, PMCID: PMC12372014, DOI: 10.1146/annurev-biodatasci-102224-074736.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsCitationsMedical foundation large language models for comprehensive text analysis and beyond
Xie Q, Chen Q, Chen A, Peng C, Hu Y, Lin F, Peng X, Huang J, Zhang J, Keloth V, Zhou X, Qian L, He H, Shung D, Ohno-Machado L, Wu Y, Xu H, Bian J. Medical foundation large language models for comprehensive text analysis and beyond. Npj Digital Medicine 2025, 8: 141. PMID: 40044845, PMCID: PMC11882967, DOI: 10.1038/s41746-025-01533-1.Peer-Reviewed Original ResearchCitationsAltmetric
2024
Using clinical entity recognition for curating an interface terminology to aid fast skimming of EHRs
Kollapally N, Dehkordi M, Perl Y, Geller J, Deek F, Liu H, Keloth V, Elhanan G, Einstein A, Zhou S. Using clinical entity recognition for curating an interface terminology to aid fast skimming of EHRs. 2024, 00: 6427-6434. DOI: 10.1109/bibm62325.2024.10822845.Peer-Reviewed Original ResearchCitations
Academic Achievements & Community Involvement
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Activities
activity American Medical Informatics Association (AMIA)
05/15/2018 - PresentProfessional OrganizationsMemberactivity Journal of Biomedical Informatics
06/30/2021 - PresentJournal ServiceRevieweractivity BMC Supplements
06/01/2021 - PresentJournal ServiceRevieweractivity AMIA DEI Communications Subcommittee
10/28/2021 - PresentProfessional OrganizationsMemberactivity JAMIA Open
04/03/2023 - PresentJournal ServiceReviewer
News
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News
- April 23, 2026
Grants Awarded to the Department of Biomedical Informatics & Data Science (Spring 2026)
- July 07, 2025
Yale Cancer Center Announces Cancer Care Equity Awards
- February 28, 2025
Yale Researchers Use Large Language Models to Detect Gastrointestinal Bleeding
- October 02, 2023
What Does Natural Language Processing Mean for Biomedicine?
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100 College Street
Academic Office
New Haven, CT 06510