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Revolutionizing Community-Based Cervical Cancer Screening: Evaluating an Indigenous Artificial Intelligence-Enabled

Mansi Chugh¹, Bharti Goel¹, Alka Sehgal¹

¹Dept. of Obstetrics and Gynaecology, Government Medical College & Hospital, Sector-32, Chandigarh, India.

Journal of Obstetrics and Gynaecology of India

|April 13, 2026

Summary

This summary is machine-generated.

An AI-enabled colposcopic device, Smart Scope®, shows promise for cervical cancer screening in low-resource settings. Combined with trained observer image assessment, it aids in identifying pre-cancerous lesions, improving community-based diagnostics.

Keywords:

Artificial intelligence Cervical cancer Screening Smart Scope®

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Area of Science:

Oncology
Medical Devices
Artificial Intelligence

Background:

Cervical cancer is a significant cause of mortality among women in low-income countries.
There is a critical need for accessible, point-of-care cervical cancer screening tools for community settings.
Effective screening is vital for managing preinvasive and early-stage cervical lesions.

Purpose of the Study:

To evaluate the diagnostic accuracy of an indigenous AI-enabled trans-vaginal colposcopic device, Smart Scope®.
To compare the Smart Scope®'s performance with traditional cervical cytology and digital image assessment.
To determine the utility of Smart Scope® for community-based cervical cancer screening.

Main Methods:

A cross-sectional study involving 268 women was conducted.
The Smart Scope® was used for cervical evaluation, alongside cervical cytology and magnified digital image assessment.
Cervical biopsy, confirmed by histopathology, served as the reference standard for diagnosing lesions.

Main Results:

Smart Scope® evaluation identified pre-cancerous/cancerous lesions in 17.5% of women.
The device demonstrated a sensitivity of 68.4% and specificity of 65.5% when compared to biopsy.
Assessment of magnified digital images by a trained observer showed higher sensitivity (89.5%) but lower specificity (49.1%).

Conclusions:

Smart Scope® combined with trained observer image assessment is a potentially effective tool for cervical cancer screening.
AI-based diagnostic improvements could enhance its role in community-based screening programs.
Further research is warranted to optimize AI algorithms for broader clinical application.