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Role of Artificial Intelligence Interpretation of Colposcopic Images in Cervical Cancer Screening

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...

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Autores principales: Kim, Seongmin, Lee, Hwajung, Lee, Sanghoon, Song, Jae-Yun, Lee, Jae-Kwan, Lee, Nak-Woo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953422/
https://www.ncbi.nlm.nih.gov/pubmed/35326946
http://dx.doi.org/10.3390/healthcare10030468
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author Kim, Seongmin
Lee, Hwajung
Lee, Sanghoon
Song, Jae-Yun
Lee, Jae-Kwan
Lee, Nak-Woo
author_facet Kim, Seongmin
Lee, Hwajung
Lee, Sanghoon
Song, Jae-Yun
Lee, Jae-Kwan
Lee, Nak-Woo
author_sort Kim, Seongmin
collection PubMed
description 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.
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spelling pubmed-89534222022-03-26 Role of Artificial Intelligence Interpretation of Colposcopic Images in Cervical Cancer Screening Kim, Seongmin Lee, Hwajung Lee, Sanghoon Song, Jae-Yun Lee, Jae-Kwan Lee, Nak-Woo Healthcare (Basel) Article 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. MDPI 2022-03-03 /pmc/articles/PMC8953422/ /pubmed/35326946 http://dx.doi.org/10.3390/healthcare10030468 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kim, Seongmin
Lee, Hwajung
Lee, Sanghoon
Song, Jae-Yun
Lee, Jae-Kwan
Lee, Nak-Woo
Role of Artificial Intelligence Interpretation of Colposcopic Images in Cervical Cancer Screening
title Role of Artificial Intelligence Interpretation of Colposcopic Images in Cervical Cancer Screening
title_full Role of Artificial Intelligence Interpretation of Colposcopic Images in Cervical Cancer Screening
title_fullStr Role of Artificial Intelligence Interpretation of Colposcopic Images in Cervical Cancer Screening
title_full_unstemmed Role of Artificial Intelligence Interpretation of Colposcopic Images in Cervical Cancer Screening
title_short Role of Artificial Intelligence Interpretation of Colposcopic Images in Cervical Cancer Screening
title_sort role of artificial intelligence interpretation of colposcopic images in cervical cancer screening
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953422/
https://www.ncbi.nlm.nih.gov/pubmed/35326946
http://dx.doi.org/10.3390/healthcare10030468
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