Utilizing AI To Predict and Prevent Cervical Cancer: Integrating Machine Learning with Pap Smear and HPV Screening | [Journal of Neonatal Surgery • 2024]

Author(s):

1. Rubina Baber: Department of Gynae Gomal Medical College Dera Ismail Khan Pakistan

2. Nayar Latif: Department of Gynae Gomal Medical College Dera Ismail Khan Pakistan

3. Kainat Raza: Department of Gynecology & Obstetrics Medical Teaching Institute-Mardan Medical Complex Mardan Pakistan

4. Uzma Zaman: Department of Gynae Gomal Medical College Dera Ismail Khan Pakistan

5. Faiza: Department of Gynae Gomal Medical College Dera Ismail Khan Pakistan

6. Hafsa: Department of Gynae Gomal Medical College Dera Ismail Khan Pakistan

Abstract:

Background: Cervical cancer remains a substantial cause of morbidity and mortality globally, particularly in areas where access to regular screening is scanty. Routine Pap smears and HPV tests, useful though they are, face issues with sensitivity, specificity and interobserver variability. Artificial intelligence (AI) has the potential to improve cervical cancer screening by providing more accurate, efficient, and prognostic diagnostics when integrated. Objectives: To assess the performance of machine learning models for cervical cancer prediction using combined Pap smear and HPV screening data. Results: 150 patients (mean age: 39.8 ± 8.6 years), 92 (30.6%) had abnormal Pap smear results and 124 (41.3%) were HPVpositive. Fifty-six cases had high-grade CIN. The AI model had an accuracy of 89.7%, sensitivity of 92.1%, and specificity of 86.4% in predicting high-grade lesions. Genital lesions were statistically significantly associated with HPV status (p = 0.002) and CIN grade (p = 0.015) were found. Conclusion: Machine learning offers great promise, and when integrated with traditional screening approaches, can improve predictive accuracy for cervical cancer and promote early detection and intervention. Such an approach is potentially transformative in altering the health care delivery landscape of cervical cancer screening - especially in scenarios where there is limited availability of specialists - and has the potential to translate into a decreased burden of disease and better patient outcomes.

Page(s): 308-313

DOI: DOI not available

Published: Journal: Journal of Neonatal Surgery, Volume: 13, Issue: 0, Year: 2024

Keywords:

Cervical Cancer , Screening , Screening , AI , HPV

References:

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[4] Sokar PK,Thomas SM,Veerabathiran R. . .The future of cervical cancer prevention: advances in research and technology. 2024 May, 22(3) : 384-400.

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