Vigilance towards the use of artificial intelligence applications for breast cancer screening and early diagnosis

Breast cancer is a real public health problem in Morocco. It is the cause of a significant number of deaths caused by late diagnosis. Mammography plays an essential role in the detection of breast cancer and in the early management of its treatment. Despite the existence of screening programs, there...

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Autores principales:	El Ouahabi Younes, Alaoui My Hachem El yousfi, Nsiri Benayad, Soulaymani Abdelmajid, Mokhtari Abdelrhani, Benaji Brahim
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	breast cancer mammographic image artificial intelligence evaluation tools heath vigilance Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/e3ad0a93a81a41c6a7d054998d5eebb3
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spelling	oai:doaj.org-article:e3ad0a93a81a41c6a7d054998d5eebb32021-11-12T11:44:08ZVigilance towards the use of artificial intelligence applications for breast cancer screening and early diagnosis2267-124210.1051/e3sconf/202131901099https://doaj.org/article/e3ad0a93a81a41c6a7d054998d5eebb32021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/95/e3sconf_vigisan_01099.pdfhttps://doaj.org/toc/2267-1242Breast cancer is a real public health problem in Morocco. It is the cause of a significant number of deaths caused by late diagnosis. Mammography plays an essential role in the detection of breast cancer and in the early management of its treatment. Despite the existence of screening programs, there are still high rates of false positives and false negatives. Indeed, women were called back for additional diagnoses based on suspicious results that eventually led to cancer. Artificial intelligence (AI) algorithms represent a promising solution to improve the accuracy of digital mammography offering, on the one hand, the possibility of better cancer detection, and, on the other hand, improved efficiency for radiologists for good decision-making. In this work, through a review of the literature on the tools used to evaluate the performance of AI systems dedicated to early detection and diagnosis of breast cancer. We set out to answer the following questions: Is the ethics relating to patient data during the development phase of this software is respected? Do these tools take into consideration the specificities of the field? What about the specification, accuracy and limitations of these applications? At the end, we show through this work recommendations to adapt these evaluation tools of AI applications for breast cancer screening for an optimized and rational consideration of the principle of health vigilance and compliance with the regulatory standards in force governing this field.El Ouahabi YounesAlaoui My Hachem El yousfiNsiri BenayadSoulaymani AbdelmajidMokhtari AbdelrhaniBenaji BrahimEDP Sciencesarticlebreast cancermammographic imageartificial intelligenceevaluation toolsheath vigilanceEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 319, p 01099 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	breast cancer mammographic image artificial intelligence evaluation tools heath vigilance Environmental sciences GE1-350
spellingShingle	breast cancer mammographic image artificial intelligence evaluation tools heath vigilance Environmental sciences GE1-350 El Ouahabi Younes Alaoui My Hachem El yousfi Nsiri Benayad Soulaymani Abdelmajid Mokhtari Abdelrhani Benaji Brahim Vigilance towards the use of artificial intelligence applications for breast cancer screening and early diagnosis
description	Breast cancer is a real public health problem in Morocco. It is the cause of a significant number of deaths caused by late diagnosis. Mammography plays an essential role in the detection of breast cancer and in the early management of its treatment. Despite the existence of screening programs, there are still high rates of false positives and false negatives. Indeed, women were called back for additional diagnoses based on suspicious results that eventually led to cancer. Artificial intelligence (AI) algorithms represent a promising solution to improve the accuracy of digital mammography offering, on the one hand, the possibility of better cancer detection, and, on the other hand, improved efficiency for radiologists for good decision-making. In this work, through a review of the literature on the tools used to evaluate the performance of AI systems dedicated to early detection and diagnosis of breast cancer. We set out to answer the following questions: Is the ethics relating to patient data during the development phase of this software is respected? Do these tools take into consideration the specificities of the field? What about the specification, accuracy and limitations of these applications? At the end, we show through this work recommendations to adapt these evaluation tools of AI applications for breast cancer screening for an optimized and rational consideration of the principle of health vigilance and compliance with the regulatory standards in force governing this field.
format	article
author	El Ouahabi Younes Alaoui My Hachem El yousfi Nsiri Benayad Soulaymani Abdelmajid Mokhtari Abdelrhani Benaji Brahim
author_facet	El Ouahabi Younes Alaoui My Hachem El yousfi Nsiri Benayad Soulaymani Abdelmajid Mokhtari Abdelrhani Benaji Brahim
author_sort	El Ouahabi Younes
title	Vigilance towards the use of artificial intelligence applications for breast cancer screening and early diagnosis
title_short	Vigilance towards the use of artificial intelligence applications for breast cancer screening and early diagnosis
title_full	Vigilance towards the use of artificial intelligence applications for breast cancer screening and early diagnosis
title_fullStr	Vigilance towards the use of artificial intelligence applications for breast cancer screening and early diagnosis
title_full_unstemmed	Vigilance towards the use of artificial intelligence applications for breast cancer screening and early diagnosis
title_sort	vigilance towards the use of artificial intelligence applications for breast cancer screening and early diagnosis
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/e3ad0a93a81a41c6a7d054998d5eebb3
work_keys_str_mv	AT elouahabiyounes vigilancetowardstheuseofartificialintelligenceapplicationsforbreastcancerscreeningandearlydiagnosis AT alaouimyhachemelyousfi vigilancetowardstheuseofartificialintelligenceapplicationsforbreastcancerscreeningandearlydiagnosis AT nsiribenayad vigilancetowardstheuseofartificialintelligenceapplicationsforbreastcancerscreeningandearlydiagnosis AT soulaymaniabdelmajid vigilancetowardstheuseofartificialintelligenceapplicationsforbreastcancerscreeningandearlydiagnosis AT mokhtariabdelrhani vigilancetowardstheuseofartificialintelligenceapplicationsforbreastcancerscreeningandearlydiagnosis AT benajibrahim vigilancetowardstheuseofartificialintelligenceapplicationsforbreastcancerscreeningandearlydiagnosis
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Vigilance towards the use of artificial intelligence applications for breast cancer screening and early diagnosis

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