What question did this study set out to answer?

This research aims to evaluate the diagnostic accuracy of AI in assessing cervical cytopathological images from Pap smears.

February 11, 2026Asian Pacific Journal of Cancer Prevention1 citationsOpen Access

Evaluation of the Diagnostic Accuracy of Cervical Cell Morphologies from Android Device-Captured Cytopathological Microscopic Images through Artificial Intelligence in Mainly Rural or Resource-Constraint Areas of India

ARArindam Ray AKArindam Karmakar MMMoumita Maiti

Key Points

This research aims to evaluate the diagnostic accuracy of AI in assessing cervical cytopathological images from Pap smears.
Analyzed 292 Pap smear images captured using Android devices.
Compared AI results with expert evaluations on diagnostic accuracy.
Conducted the analysis in resource-constrained areas.
AI demonstrated significant accuracy in diagnosing cervical cell morphologies.
High correlation between AI assessments and expert evaluations.

Abstract

AI offers a lot of promise for diagnosing cervical cancer, and its uses in cervical cytology screening are particularly well-established. Manual screening of cervical cytology smears is a time-tested method, but AI is set to revolutionize the process by improving outreach, availability, accuracy and economy. A total of 292 hospital in-house Pap smear images have been validated and examined in this study with significant accuracy percentages between AI and expert eyes.

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