2022 / Cerviray / Role of Artificial Intelligence Interpretation of Colposcopic Images in Cervical Cancer Screening
마케팅
2025-11-20
Role of Artificial Intelligence Interpretation of Colposcopic Images in Cervical Cancer Screening
Seongmin Kim1, Hwajung Lee2, Sanghoon Lee2, Jae-Yun Song2, Jae-Kwan Lee2 and Nak-Woo Lee2
DOI : 10.3390/healthcare10030468
Abstract
The accuracy of colposcopic diagnosis depends on the skill and proficiency of physicians. This study evaluated the feasibility of interpreting colposcopic images with the assistance of artificial intelligence (AI) for the diagnosis of high-grade cervical intraepithelial lesions. This study included female patients who underwent colposcopy-guided biopsy in 2020 at two institutions in the Republic of Korea. Two experienced colposcopists reviewed all images separately. The Cerviray AI® system (AIDOT, Seoul, Korea) was used to interpret the cervical images. AI demonstrated improved sensitivity with comparable specificity and positive predictive value when compared with the colposcopic impressions of each clinician. The areas under the curve were greater with combined impressions (both AI and that of the two colposcopists) of high-grade lesions, when compared with the individual impressions of each colposcopist. This study highlights the feasibility of the application of an AI system in cervical cancer screening. AI interpretation can be utilized as an assisting tool in combination with human colposcopic evaluation of exocervix.
Conclusions
In conclusion, our study highlights the feasibility of using machine learning-based AI systems in cervical cancer screening. AI interpretation of cervical images could be an assistive tool if it is used in combination with human colposcopic evaluation. Additionally, if additional supportive studies are followed, it might be utilized as an alternative tool in evaluating high-grade cervical lesions when proficient colposcopists are unavailable due to the lack of accessibility or high cost in low-income or developing countries. Much more data are warranted for using AI systems in the field of cervical cancer screening.
