Publications by authors named "Ilan Reinstein"

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Large language model-based identification of venous thromboembolism diagnostic delays.
Verity Schaye, Daniel J Sartori, Lexi Signoriello, Kiran Malhotra, Benedict Guzman, Ilan Reinstein

J Hosp Med· October 2025

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Artificial intelligence based assessment of clinical reasoning documentation: an observational study of the impact of the clinical learning environment on resident documentation quality.
Verity Schaye, David J DiTullio, Daniel J Sartori, Kevin Hauck, Matthew Haller, Ilan Reinstein

BMC Med Educ· April 2025

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Large Language Model-Based Assessment of Clinical Reasoning Documentation in the Electronic Health Record Across Two Institutions: Development and Validation Study.
Verity Schaye, David DiTullio, Benedict Vincent Guzman, Scott Vennemeyer, Hanniel Shih, Ilan Reinstein

J Med Internet Res· March 2025

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Artificial Intelligence Screening of Medical School Applications: Development and Validation of a Machine-Learning Algorithm.
Marc M Triola, Ilan Reinstein, Marina Marin, Colleen Gillespie, Steven Abramson

Acad Med· September 2023

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A New Tool for Holistic Residency Application Review: Using Natural Language Processing of Applicant Experiences to Predict Interview Invitation.
Arun Umesh Mahtani, Ilan Reinstein, Marina Marin, Jesse Burk-Rafel

Acad Med· September 2023

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Identifying Meaningful Patterns of Internal Medicine Clerkship Grading Distributions: Application of Data Science Techniques Across 135 U.S. Medical Schools.
Jesse Burk-Rafel, Ilan Reinstein, Yoon Soo Park

Acad Med· March 2023

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Development and Validation of a Machine Learning Model for Automated Assessment of Resident Clinical Reasoning Documentation.
Verity Schaye, Benedict Guzman, Jesse Burk-Rafel, Marina Marin, Ilan Reinstein

J Gen Intern Med· July 2022

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Mapping hospital data to characterize residents' educational experiences.
David W Rhee, Ilan Reinstein, Morris Jrada, Jay Pendse, Patrick Cocks

BMC Med Educ· June 2022

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Development and Validation of a Machine Learning-Based Decision Support Tool for Residency Applicant Screening and Review.
Jesse Burk-Rafel, Ilan Reinstein, James Feng, Moosun Brad Kim, Louis H Miller

Acad Med· November 2021

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Multi-level longitudinal learning curve regression models integrated with item difficulty metrics for deliberate practice of visual diagnosis: groundwork for adaptive learning.
Ilan Reinstein, Jennifer Hill, David A Cook, Matthew Lineberry, Martin V Pusic

Adv Health Sci Educ Theory Pract· August 2021

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A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients.
Narges Razavian, Vincent J Major, Mukund Sudarshan, Jesse Burk-Rafel, Peter Stella, Ilan Reinstein

NPJ Digit Med· October 2020

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