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Artificial Intelligence in Breast Cancer Screening and Diagnosis

Cancer is a disease that continues to plague our modern society. Among all types of cancer, breast cancer is now the most common type of cancer occurring in women worldwide. Various factors, including genetics, lifestyle, and the environment, have contributed to the rise in the prevalence of breast...

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Detalles Bibliográficos
Autores principales: Dileep, Gayathri, Gianchandani Gyani, Sanjeev G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650950/
https://www.ncbi.nlm.nih.gov/pubmed/36381716
http://dx.doi.org/10.7759/cureus.30318
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author Dileep, Gayathri
Gianchandani Gyani, Sanjeev G
author_facet Dileep, Gayathri
Gianchandani Gyani, Sanjeev G
author_sort Dileep, Gayathri
collection PubMed
description Cancer is a disease that continues to plague our modern society. Among all types of cancer, breast cancer is now the most common type of cancer occurring in women worldwide. Various factors, including genetics, lifestyle, and the environment, have contributed to the rise in the prevalence of breast cancer among women of all socioeconomic strata. Therefore, proper screening for early diagnosis and treatment becomes a major factor when fighting the disease. Artificial intelligence (AI) continues to revolutionize various spheres of our lives with its numerous applications. Using AI in the existing screening process makes obtaining results even easier and more convenient. Faster, more accurate results are some of the benefits of AI methods in breast cancer screening. Nonetheless, there are many challenges in the process of the integration of AI that needs to be addressed systematically. The following is a review of the application of AI in breast cancer screening.
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spelling pubmed-96509502022-11-14 Artificial Intelligence in Breast Cancer Screening and Diagnosis Dileep, Gayathri Gianchandani Gyani, Sanjeev G Cureus Medical Simulation Cancer is a disease that continues to plague our modern society. Among all types of cancer, breast cancer is now the most common type of cancer occurring in women worldwide. Various factors, including genetics, lifestyle, and the environment, have contributed to the rise in the prevalence of breast cancer among women of all socioeconomic strata. Therefore, proper screening for early diagnosis and treatment becomes a major factor when fighting the disease. Artificial intelligence (AI) continues to revolutionize various spheres of our lives with its numerous applications. Using AI in the existing screening process makes obtaining results even easier and more convenient. Faster, more accurate results are some of the benefits of AI methods in breast cancer screening. Nonetheless, there are many challenges in the process of the integration of AI that needs to be addressed systematically. The following is a review of the application of AI in breast cancer screening. Cureus 2022-10-15 /pmc/articles/PMC9650950/ /pubmed/36381716 http://dx.doi.org/10.7759/cureus.30318 Text en Copyright © 2022, Dileep et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Medical Simulation
Dileep, Gayathri
Gianchandani Gyani, Sanjeev G
Artificial Intelligence in Breast Cancer Screening and Diagnosis
title Artificial Intelligence in Breast Cancer Screening and Diagnosis
title_full Artificial Intelligence in Breast Cancer Screening and Diagnosis
title_fullStr Artificial Intelligence in Breast Cancer Screening and Diagnosis
title_full_unstemmed Artificial Intelligence in Breast Cancer Screening and Diagnosis
title_short Artificial Intelligence in Breast Cancer Screening and Diagnosis
title_sort artificial intelligence in breast cancer screening and diagnosis
topic Medical Simulation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650950/
https://www.ncbi.nlm.nih.gov/pubmed/36381716
http://dx.doi.org/10.7759/cureus.30318
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