Leveraging artificial intelligence to decipher gynecologic cytopathology reports: Insights from an exploratory study for possible use in patient portals

This study provides insight into the field of automated simplification of pathology reports using ChatGPT. With proper prompting, AI chatbots have potential to serve as powerful assistants to patients desiring accurate, simple summaries of their gynecologic cytopathology reports, with minimal or no harm. These findings are based on pathologists' opinions-an indirect measure of patient understanding. Future studies should directly measure patient comprehension and intended follow-up actions to ensure that AI-simplified reports are not only medically accurate but truly patient-centered.

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Publication Details

Journal
Cancer Cytopathology
Published
2026-02-09
DOI
https://doi.org/10.1002/cncy.70077
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging artificial intelligence to decipher gynecologic cytopathology reports: Insights from an exploratory study for possible use in patient portals

Alessa Aragão, Levent Trabzonlu, Güliz A. Barkan, Rachel Lichtenberg et al.
Cancer Cytopathology
Artificial Intelligence in Healthcare and Education
article

Leveraging artificial intelligence to decipher gynecologic cytopathology reports: Insights from an exploratory study for possible use in patient portals

Alessa Aragão, Levent Trabzonlu, Güliz A. Barkan, Rachel Lichtenberg, Rachel Gordezky, Swati Mehrotra, Khin Su Mon, Yasemin Akdas
article en

Abstract

This study provides insight into the field of automated simplification of pathology reports using ChatGPT. With proper prompting, AI chatbots have potential to serve as powerful assistants to patients desiring accurate, simple summaries of their gynecologic cytopathology reports, with minimal or no harm. These findings are based on pathologists' opinions-an indirect measure of patient understanding. Future studies should directly measure patient comprehension and intended follow-up actions to ensure that AI-simplified reports are not only medically accurate but truly patient-centered.

Cancer CytopathologyVol. 134(3)
Loyola University Medical Center (US), University of Illinois Chicago (US), University of Chicago Medical Center (US), Vanderbilt University Medical Center (US)
Quality Education
Openalex Percentile: Top 62%
Artificial Intelligence in Healthcare and Education
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