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Expanding the horizon for breast cancer screening in India through artificial intelligent technologies -A mini-review
INTRODUCTION: Breast cancer is one of the most common cancer among Indian women, with an incidence of 25.8 per 100,000 women according to the Ministry of Health and Family Welfare. Late detection is responsible for poor quality of life (QOL), and it is the leading cause of death. In metropolitan reg...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9822715/ https://www.ncbi.nlm.nih.gov/pubmed/36620183 http://dx.doi.org/10.3389/fdgth.2022.1082884 |
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author | Bhattacharya, Sudip Varshney, Saurabh Heidler, Petra Tripathi, Shailesh K. |
author_facet | Bhattacharya, Sudip Varshney, Saurabh Heidler, Petra Tripathi, Shailesh K. |
author_sort | Bhattacharya, Sudip |
collection | PubMed |
description | INTRODUCTION: Breast cancer is one of the most common cancer among Indian women, with an incidence of 25.8 per 100,000 women according to the Ministry of Health and Family Welfare. Late detection is responsible for poor quality of life (QOL), and it is the leading cause of death. In metropolitan regions, one in every 22 women will have breast cancer over their lifetime; but in rural areas, one in every 60 women will develop breast cancer as per estimates. AIM AND OBJECTIVE: This paper aims to describe the various AI based breast screening technologies which are used in breast cancer screening in India. METHODOLOGY: The literature search was done using “Pub Med,” “Google scholar,” and “Scopus” databases for the key terms “technology,” “cancer research,” “artificial intelligence,” “mammography”, “breast cancer,” “cancer,” and/or “neoplasia in breast.” All the relevant articles were included to support this mini review. RESULTS: We found that emerging artificial intelligent technologies namely “Niramai”, “iBreastExam,” “MammoAssist” are emerging as an hope for early detection by screening in resource poor settings, in turn, which can improve the QOL among breast cancer patients. |
format | Online Article Text |
id | pubmed-9822715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98227152023-01-07 Expanding the horizon for breast cancer screening in India through artificial intelligent technologies -A mini-review Bhattacharya, Sudip Varshney, Saurabh Heidler, Petra Tripathi, Shailesh K. Front Digit Health Digital Health INTRODUCTION: Breast cancer is one of the most common cancer among Indian women, with an incidence of 25.8 per 100,000 women according to the Ministry of Health and Family Welfare. Late detection is responsible for poor quality of life (QOL), and it is the leading cause of death. In metropolitan regions, one in every 22 women will have breast cancer over their lifetime; but in rural areas, one in every 60 women will develop breast cancer as per estimates. AIM AND OBJECTIVE: This paper aims to describe the various AI based breast screening technologies which are used in breast cancer screening in India. METHODOLOGY: The literature search was done using “Pub Med,” “Google scholar,” and “Scopus” databases for the key terms “technology,” “cancer research,” “artificial intelligence,” “mammography”, “breast cancer,” “cancer,” and/or “neoplasia in breast.” All the relevant articles were included to support this mini review. RESULTS: We found that emerging artificial intelligent technologies namely “Niramai”, “iBreastExam,” “MammoAssist” are emerging as an hope for early detection by screening in resource poor settings, in turn, which can improve the QOL among breast cancer patients. Frontiers Media S.A. 2022-12-23 /pmc/articles/PMC9822715/ /pubmed/36620183 http://dx.doi.org/10.3389/fdgth.2022.1082884 Text en © 2022 Bhattacharya, Varshney, Heidler and Tripathi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Digital Health Bhattacharya, Sudip Varshney, Saurabh Heidler, Petra Tripathi, Shailesh K. Expanding the horizon for breast cancer screening in India through artificial intelligent technologies -A mini-review |
title | Expanding the horizon for breast cancer screening in India through artificial intelligent technologies -A mini-review |
title_full | Expanding the horizon for breast cancer screening in India through artificial intelligent technologies -A mini-review |
title_fullStr | Expanding the horizon for breast cancer screening in India through artificial intelligent technologies -A mini-review |
title_full_unstemmed | Expanding the horizon for breast cancer screening in India through artificial intelligent technologies -A mini-review |
title_short | Expanding the horizon for breast cancer screening in India through artificial intelligent technologies -A mini-review |
title_sort | expanding the horizon for breast cancer screening in india through artificial intelligent technologies -a mini-review |
topic | Digital Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9822715/ https://www.ncbi.nlm.nih.gov/pubmed/36620183 http://dx.doi.org/10.3389/fdgth.2022.1082884 |
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