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Immunocytochemistry and Immunohistochemistry

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

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Artificial Intelligence in Gynecologic Cytology.

Lakshmi Harinath¹, Xinru Bai², Jeremy Minkowitz³

¹Department of Pathology, University of Pittsburgh, UPMC Magee-Womens Hospital, Pittsburgh, Pennsylvania, USA, harinathl@upmc.edu.

Acta Cytologica

|July 8, 2025

Summary

Artificial intelligence (AI) offers innovative solutions for cervical cancer screening using Pap tests, addressing global workforce shortages. AI systems show promise in improving efficiency and standardization in cytopathology, but require careful validation for clinical use.

Keywords:

Artificial intelligence Cervical cancer Cytology Digital imaging Pap test Screening

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Area of Science:

Cytopathology
Medical Imaging
Artificial Intelligence

Background:

Cervical cancer is a leading global cancer in women, particularly in underserved regions.
Challenges in manual Pap test screening include workforce shortages and lack of expert consultation.
Innovative solutions are needed to improve timely cervical cancer screening access.

Purpose of the Study:

To raise awareness of AI-assisted screening platforms for Pap tests.
To explore the development and performance of these novel systems.
To discuss challenges and considerations for AI deployment in routine practice.

Main Methods:

Review of whole slide imaging and AI developments in cytopathology.
Comparison of performance characteristics of various AI-based Pap test screening systems.
Analysis of technical challenges in clinical trials for AI technologies.

Main Results:

AI systems demonstrate potential to transform cytopathology practice.
Some AI systems exhibit favorable performance characteristics.
These systems can help address workload and standardization issues in laboratories.

Conclusions:

AI-based systems are emerging as valuable tools in cytopathology for Pap test screening.
Evidence-based validation is crucial for the adoption of AI systems.
Careful implementation is necessary to ensure patient safety and quality standards.