Сontemporary Medical Decision Support Systems Based on Artificial Intelligence for the Analysis of Digital Mammographic Images
The relevance of implementing artificial intelligence (AI) technologies in the diagnosis of breast cancer (BC) is associated with a continuing high increase in BC incidence among women and its leading position in the structure of cancer incidence. Theoretically, using AI technologies is possible bot...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Luchevaya Diagnostika, LLC
2023-08-01
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| Series: | Вестник рентгенологии и радиологии |
| Subjects: | |
| Online Access: | https://www.russianradiology.ru/jour/article/view/797 |
| _version_ | 1826587764798259200 |
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| author | V. A. Solodkiy A. D. Kaprin N. V. Nudnov N. V. Kharchenko O. S. Khodorovich G. M. Zapirov T. V. Sherstneva Sh. M. Dibirova L. B. Kanakhina |
| author_facet | V. A. Solodkiy A. D. Kaprin N. V. Nudnov N. V. Kharchenko O. S. Khodorovich G. M. Zapirov T. V. Sherstneva Sh. M. Dibirova L. B. Kanakhina |
| author_sort | V. A. Solodkiy |
| collection | DOAJ |
| description | The relevance of implementing artificial intelligence (AI) technologies in the diagnosis of breast cancer (BC) is associated with a continuing high increase in BC incidence among women and its leading position in the structure of cancer incidence. Theoretically, using AI technologies is possible both at the stage of screening and in clarifying BC diagnosis. The article provides a brief overview of AI systems used in clinical practice and discusses their prospects in BC diagnosis. Advances in machine learning can be effective to improve the accuracy of mammography screening by reducing missed cancer cases and false positives. |
| first_indexed | 2024-03-08T10:22:08Z |
| format | Article |
| id | doaj.art-e69d88ba5a4147aaad1ee5b803627c0d |
| institution | Directory Open Access Journal |
| issn | 0042-4676 2619-0478 |
| language | English |
| last_indexed | 2025-03-14T16:30:37Z |
| publishDate | 2023-08-01 |
| publisher | Luchevaya Diagnostika, LLC |
| record_format | Article |
| series | Вестник рентгенологии и радиологии |
| spelling | doaj.art-e69d88ba5a4147aaad1ee5b803627c0d2025-02-21T12:05:30ZengLuchevaya Diagnostika, LLCВестник рентгенологии и радиологии0042-46762619-04782023-08-01104215116210.20862/0042-4676-2023-104-2-151-162441Сontemporary Medical Decision Support Systems Based on Artificial Intelligence for the Analysis of Digital Mammographic ImagesV. A. Solodkiy0A. D. Kaprin1N. V. Nudnov2N. V. Kharchenko3O. S. Khodorovich4G. M. Zapirov5T. V. Sherstneva6Sh. M. Dibirova7L. B. Kanakhina8Russian Scientific Center of RoentgenoradiologyNational Medical Research Center of Radiology; Peoples’ Friendship University of RussiaRussian Scientific Center of Roentgenoradiology Peoples’ Friendship University of RussiaPeoples’ Friendship University of RussiaRussian Scientific Center of RoentgenoradiologyPeoples’ Friendship University of RussiaRussian Scientific Center of RoentgenoradiologyRussian Scientific Center of Roentgenoradiology; Peoples’ Friendship University of RussiaRussian Scientific Center of RoentgenoradiologyThe relevance of implementing artificial intelligence (AI) technologies in the diagnosis of breast cancer (BC) is associated with a continuing high increase in BC incidence among women and its leading position in the structure of cancer incidence. Theoretically, using AI technologies is possible both at the stage of screening and in clarifying BC diagnosis. The article provides a brief overview of AI systems used in clinical practice and discusses their prospects in BC diagnosis. Advances in machine learning can be effective to improve the accuracy of mammography screening by reducing missed cancer cases and false positives.https://www.russianradiology.ru/jour/article/view/797breast cancerscreeningartificial intelligencemachine learningmammographyreview |
| spellingShingle | V. A. Solodkiy A. D. Kaprin N. V. Nudnov N. V. Kharchenko O. S. Khodorovich G. M. Zapirov T. V. Sherstneva Sh. M. Dibirova L. B. Kanakhina Сontemporary Medical Decision Support Systems Based on Artificial Intelligence for the Analysis of Digital Mammographic Images Вестник рентгенологии и радиологии breast cancer screening artificial intelligence machine learning mammography review |
| title | Сontemporary Medical Decision Support Systems Based on Artificial Intelligence for the Analysis of Digital Mammographic Images |
| title_full | Сontemporary Medical Decision Support Systems Based on Artificial Intelligence for the Analysis of Digital Mammographic Images |
| title_fullStr | Сontemporary Medical Decision Support Systems Based on Artificial Intelligence for the Analysis of Digital Mammographic Images |
| title_full_unstemmed | Сontemporary Medical Decision Support Systems Based on Artificial Intelligence for the Analysis of Digital Mammographic Images |
| title_short | Сontemporary Medical Decision Support Systems Based on Artificial Intelligence for the Analysis of Digital Mammographic Images |
| title_sort | сontemporary medical decision support systems based on artificial intelligence for the analysis of digital mammographic images |
| topic | breast cancer screening artificial intelligence machine learning mammography review |
| url | https://www.russianradiology.ru/jour/article/view/797 |
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