Vimig Socrates, MS
About
Research
Publications
Featured Publications
How Does ChatGPT Perform on the United States Medical Licensing Examination? The Implications of Large Language Models for Medical Education and Knowledge Assessment
Gilson A, Safranek C, Huang T, Socrates V, Chi L, Taylor R, Chartash D. How Does ChatGPT Perform on the United States Medical Licensing Examination? The Implications of Large Language Models for Medical Education and Knowledge Assessment. JMIR Medical Education 2023, 9: e45312. PMID: 36753318, PMCID: PMC9947764, DOI: 10.2196/45312.Peer-Reviewed Original ResearchDesign and Development of Halyos: A Patient-Facing Visual EHR Interface for Longitudinal Risk Awareness
Mataraso S, Socrates V, Lekschas F, Gehlenborg N. Design and Development of Halyos: A Patient-Facing Visual EHR Interface for Longitudinal Risk Awareness. ACI Open 2022, 06: e123-e128. DOI: 10.1055/s-0042-1749191.Peer-Reviewed Original ResearchExtraction of Diagnostic Reasoning Relations for Clinical Knowledge Graphs
Socrates V. Extraction of Diagnostic Reasoning Relations for Clinical Knowledge Graphs. 2022, 413-421. DOI: 10.18653/v1/2022.acl-srw.33.Peer-Reviewed Original Research
2026
Evaluating the Potential Impact of AI on Urinary Tract Infection Diagnosis in the Emergency Department Across Demographic Groups: Retrospective Cohort Study
Iscoe M, Li H, Xue H, Socrates V, Gilson A, Huang T, Taylor R. Evaluating the Potential Impact of AI on Urinary Tract Infection Diagnosis in the Emergency Department Across Demographic Groups: Retrospective Cohort Study. JMIR AI 2026, 5: e91148. PMID: 42090580, PMCID: PMC13148603, DOI: 10.2196/91148.Peer-Reviewed Original ResearchSimulated evaluation of large language model stepwise diagnostic reasoning with real-world chest pain encounters and Bayesian networks
Safranek C, Socrates V, Wright D, Huang T, Alashi A, McCann K, Taylor R, Chartash D. Simulated evaluation of large language model stepwise diagnostic reasoning with real-world chest pain encounters and Bayesian networks. BMC Medical Informatics And Decision Making 2026, 26: 97. PMID: 41735989, PMCID: PMC13037032, DOI: 10.1186/s12911-026-03381-9.Peer-Reviewed Original Research
2025
Identifying Deprescribing Opportunities With Large Language Models in Older Adults: Retrospective Cohort Study
Socrates V, Wright D, Huang T, Fereydooni S, Dien C, Chi L, Albano J, Patterson B, Kanaparthy N, Wright C, Loza A, Chartash D, Iscoe M, Taylor R. Identifying Deprescribing Opportunities With Large Language Models in Older Adults: Retrospective Cohort Study. JMIR Aging 2025, 8: e69504. PMID: 40215480, PMCID: PMC12032504, DOI: 10.2196/69504.Peer-Reviewed Original ResearchAutomated computation of the HEART score with the GPT-4 large language model
Wright D, Socrates V, Huang T, Safranek C, Sangal R, Dilip M, Boivin Z, Srica N, Wright C, Feher A, Miller E, Chartash D, Taylor R. Automated computation of the HEART score with the GPT-4 large language model. The American Journal Of Emergency Medicine 2025, 93: 120-125. PMID: 40184662, PMCID: PMC12202168, DOI: 10.1016/j.ajem.2025.03.065.Peer-Reviewed Original ResearchUsing natural language processing to identify emergency department patients with incidental lung nodules requiring follow‐up
Moore C, Socrates V, Hesami M, Denkewicz R, Cavallo J, Venkatesh A, Taylor R. Using natural language processing to identify emergency department patients with incidental lung nodules requiring follow‐up. Academic Emergency Medicine 2025, 32: 274-283. PMID: 39821298, DOI: 10.1111/acem.15080.Peer-Reviewed Original ResearchCharacterizing Emergency Department Care for Patients With Histories of Incarceration
Huang T, Socrates V, Ovchinnikova P, Faustino I, Kumar A, Safranek C, Chi L, Wang E, Puglisi L, Wong A, Wang K, Taylor R. Characterizing Emergency Department Care for Patients With Histories of Incarceration. Journal Of The American College Of Emergency Physicians Open 2025, 6: 100022. PMID: 40012663, PMCID: PMC11852703, DOI: 10.1016/j.acepjo.2024.100022.Peer-Reviewed Original Research
2024
Leveraging artificial intelligence to reduce diagnostic errors in emergency medicine: Challenges, opportunities, and future directions
Taylor R, Sangal R, Smith M, Haimovich A, Rodman A, Iscoe M, Pavuluri S, Rose C, Janke A, Wright D, Socrates V, Declan A. Leveraging artificial intelligence to reduce diagnostic errors in emergency medicine: Challenges, opportunities, and future directions. Academic Emergency Medicine 2024, 32: 327-339. PMID: 39676165, PMCID: PMC11921089, DOI: 10.1111/acem.15066.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements