Identifying Authenticity in Orthopaedic Residency Applications: Can Selection Committees Detect AI-Written Personal Statements

Authors, Author Information and Article Contact

Samir Baig, MD1, Lekha Yaramada, BS1, David E Komatsu, PhD1, James Barsi MD1

1Department of Orthopaedics and Rehabilitation, Stony Brook University, Stony Brook, New York

Corresponding Author: James Barsi, MD

Department of Orthopaedics and Rehabilitation, Stony Brook University, HSC T18, Stony Brook, NY  11794; email: james.barsi@stonybrookmedicine.edu

Disclosure Statement

No disclosures.

Citation

Baig S, Yaramada L, Komatsu DE, Barsi J: Identifying Authenticity in Orthopaedic Residency Applications: Can Selection Committees Detect AI-Written Personal Statements.  Stony Brook Medicine Journal of Scholarship, Innovation, and Quality Imrovement - Orthopaedics 2025.

Keywords
Artificial Intelligence, residency, personal statement
Abstract

See article.

Article