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

Authors

• Samir Baig, Department of Orthopaedics and Rehabilitation Stony Brook University
• Lekha Yaramada, Department of Orthopaedics and Rehabilitation, Stony Brook University
• David E. Komatsu, Department of Orthopaedics and Rehabilitation, Stony Brook University
• James Barsi, Department of Orthopaedics and Rehabilitation, Stony Brook University

Keywords

Artificial Intelligence, residency, personal statement

Abstract

See article.

Disclosure Statement

No disclosures.

Corresponding Author

James Barsi, MD

james.barsi@stonybrookmedicine.edu

Recommended Citation

Baig, Samir; Yaramada, Lekha; Komatsu, David E.; and Barsi, James (2025) "Identifying Authenticity in Orthopaedic Residency Applications: Can Selection Committees Detect AI-Written Personal Statements," Stony Brook Orthopaedic and Musculoskeletal Journal: Vol. 5, Article 3.
DOI: https://doi.org/10.31259/3065-2677.1040
Available at: https://commons.library.stonybrook.edu/orthomusculoskeletaljournal/vol5/iss1/3