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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2021-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/95/e3sconf_vigisan_01099.pdf |
| _version_ | 1819005784774672384 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-20T23:58:18Z |
| format | Article |
| id | doaj.art-e3ad0a93a81a41c6a7d054998d5eebb3 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-20T23:58:18Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-e3ad0a93a81a41c6a7d054998d5eebb32022-12-21T19:22:41ZengEDP SciencesE3S Web of Conferences2267-12422021-01-013190109910.1051/e3sconf/202131901099e3sconf_vigisan_01099Vigilance towards the use of artificial intelligence applications for breast cancer screening and early diagnosisEl Ouahabi Younes0Alaoui My Hachem El yousfiNsiri BenayadSoulaymani Abdelmajid1Mokhtari Abdelrhani2Benaji Brahim3Laboratory Health and Biology, Faculty of Sciences, Ibn Tofail UniversityLaboratory Health and Biology, Faculty of Sciences, Ibn Tofail UniversityLaboratory Health and Biology, Faculty of Sciences, Ibn Tofail UniversityGroupe of Biomedical Engineering and Pharmaceuticals Sciences - National Graduate School of Arts and Crafts (ENSAM)-Mohammed V University RabatBreast 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/95/e3sconf_vigisan_01099.pdfbreast cancermammographic imageartificial intelligenceevaluation toolsheath vigilance |
| spellingShingle | 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 E3S Web of Conferences breast cancer mammographic image artificial intelligence evaluation tools heath vigilance |
| title | 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_short | 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 |
| topic | breast cancer mammographic image artificial intelligence evaluation tools heath vigilance |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/95/e3sconf_vigisan_01099.pdf |
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