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.
Authors
- Alessa Aragão
- Levent Trabzonlu (ORCID: https://orcid.org/0000-0001-8986-8567)
- Güliz A. Barkan (ORCID: https://orcid.org/0000-0002-1825-4637)
- Rachel Lichtenberg (ORCID: https://orcid.org/0000-0003-3568-7132)
- Rachel Gordezky
- Swati Mehrotra
- Khin Su Mon
- Yasemin Akdas
Institutions
- Loyola University Medical Center (US)
- University of Illinois Chicago (US)
- University of Chicago Medical Center (US)
- Vanderbilt University Medical Center (US)
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