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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

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Can Residency Programs Detect Artificial Intelligence Use in Personal Statements?

Nicole Cumbo¹, Whitney Williams², Joseph C Canterino¹

¹Obstetrics and Gynecology, Hackensack Meridian Jersey Shore University Medical Center, Neptune, USA.

|September 2, 2025

Summary

This summary is machine-generated.

Artificial intelligence (AI) detectors show promise in identifying ChatGPT-generated text in residency personal statements. However, their accuracy varies, necessitating careful use to avoid penalizing honest applicants.

Keywords:

artificial intelligence and education artificial intelligence in medicine artificial intelligence in scientific writing electronic residency applications personal statement

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Area of Science:

Medical Education
Artificial Intelligence in Healthcare
Academic Integrity

Background:

The increasing use of AI language models like ChatGPT raises concerns about academic integrity in medical residency applications.
Personal statements are crucial for residency selection, making the detection of AI-generated content a priority for admissions committees.

Purpose of the Study:

To assess the effectiveness of widely available AI detection tools in identifying text generated by ChatGPT within personal statements for residency applications.
To evaluate the reliability of AI detectors for ensuring authenticity in medical education admissions.

Main Methods:

A qualitative analysis was conducted on 25 personal statements submitted for obstetrics and gynecology residency applications.
Three AI detection tools—GPTZero, Undetectable AI, and Winston AI—were used to analyze the selected writing samples.

Main Results:

AI-generated content was highly detectable, while human-written samples showed mixed detection rates (ranging from 3-100%).
The performance of AI detectors varied, with some tools showing higher accuracy in identifying AI-generated text.
Human-written statements submitted after the widespread availability of ChatGPT exhibited a broader range of AI detection results.

Conclusions:

Current AI detection tools may assist residency programs in identifying AI-generated personal statements, but their reliability is not absolute.
The development of clear guidelines on AI use and authorship is essential to maintain the integrity of application submissions.
Over-reliance on unvalidated AI detection tools could potentially disadvantage legitimate applicants.