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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-8953422 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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