Brian Gin

Associate Professor

The University of Illinois at Chicago

United States

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Brian Gin is an Associate Professor at the University of Illinois at Chicago, USA. His research focuses on the integration of artificial intelligence in medical education, exploring themes such as data extraction for knowledge syntheses, educational strategies for clinical supervision, and bias in feedback within AI contexts. His recent publications include works on navigating AI challenges in medical education and the application of natural language processing in educational frameworks.

Articles (10)

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2025

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2025

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2025

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2025

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2025

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2024

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2023

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2023

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2023

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2022

Collaborators (5)

Olle ten Cate

Professor of Medical Education

University Medical Center Groningen

NETHERLANDS

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Raja-Elie E. Abdulnour

Editor-in-Chief, NEJM Journal Watch

UMass Medical School

UNITED STATES

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Lauren Maggio

University of Chicago

UNITED STATES

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Jesse Burk-Rafel

Assistant Professor

NYU School of Medicine

UNITED STATES

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Christy K. Boscardin

University of California, San Francisco

UNITED STATES

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Brian Gin

Research Interests

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About

Articles (10)

Twelve tips for data extraction for knowledge syntheses

Macy Foundation Innovation Report Part I: Current Landscape of Artificial Intelligence in Medical Education

Educational Strategies for Clinical Supervision of Artificial Intelligence Use

Entrustment and EPAs for Artificial Intelligence (AI): A Framework to Safeguard the Use of AI in Health Professions Education

Macy Foundation Innovation Report Part II: From Hype to Reality: Innovators' Visions for Navigating AI Integration Challenges in Medical Education

Assessing supervisor versus trainee viewpoints of entrustment through cognitive and affective lenses: an artificial intelligence investigation of bias in feedback

The fundamentals of Artificial Intelligence in medical education research: AMEE Guide No. 156

ChatGPT and Generative Artificial Intelligence for Medical Education: Potential Impact and Opportunity.

Evolving natural language processing towards a subjectivist inductive paradigm

Comprehensive Assessment of Clinical Learning Environments to Drive Improvement: Lessons Learned from a Pilot Program.

Collaborators (5)

Olle ten Cate

Raja-Elie E. Abdulnour

Lauren Maggio

Jesse Burk-Rafel

Christy K. Boscardin

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