Cargando…
Artificial intelligence in breast imaging: Current situation and clinical challenges
Breast cancer ranks among the most prevalent malignant tumours and is the primary contributor to cancer‐related deaths in women. Breast imaging is essential for screening, diagnosis, and therapeutic surveillance. With the increasing demand for precision medicine, the heterogeneous nature of breast c...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582610/ https://www.ncbi.nlm.nih.gov/pubmed/37933287 http://dx.doi.org/10.1002/EXP.20230007 |
_version_ | 1785122369482784768 |
---|---|
author | You, Chao Shen, Yiyuan Sun, Shiyun Zhou, Jiayin Li, Jiawei Su, Guanhua Michalopoulou, Eleni Peng, Weijun Gu, Yajia Guo, Weisheng Cao, Heqi |
author_facet | You, Chao Shen, Yiyuan Sun, Shiyun Zhou, Jiayin Li, Jiawei Su, Guanhua Michalopoulou, Eleni Peng, Weijun Gu, Yajia Guo, Weisheng Cao, Heqi |
author_sort | You, Chao |
collection | PubMed |
description | Breast cancer ranks among the most prevalent malignant tumours and is the primary contributor to cancer‐related deaths in women. Breast imaging is essential for screening, diagnosis, and therapeutic surveillance. With the increasing demand for precision medicine, the heterogeneous nature of breast cancer makes it necessary to deeply mine and rationally utilize the tremendous amount of breast imaging information. With the rapid advancement of computer science, artificial intelligence (AI) has been noted to have great advantages in processing and mining of image information. Therefore, a growing number of scholars have started to focus on and research the utility of AI in breast imaging. Here, an overview of breast imaging databases and recent advances in AI research are provided, the challenges and problems in this field are discussed, and then constructive advice is further provided for ongoing scientific developments from the perspective of the National Natural Science Foundation of China. |
format | Online Article Text |
id | pubmed-10582610 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105826102023-11-05 Artificial intelligence in breast imaging: Current situation and clinical challenges You, Chao Shen, Yiyuan Sun, Shiyun Zhou, Jiayin Li, Jiawei Su, Guanhua Michalopoulou, Eleni Peng, Weijun Gu, Yajia Guo, Weisheng Cao, Heqi Exploration (Beijing) Reviews Breast cancer ranks among the most prevalent malignant tumours and is the primary contributor to cancer‐related deaths in women. Breast imaging is essential for screening, diagnosis, and therapeutic surveillance. With the increasing demand for precision medicine, the heterogeneous nature of breast cancer makes it necessary to deeply mine and rationally utilize the tremendous amount of breast imaging information. With the rapid advancement of computer science, artificial intelligence (AI) has been noted to have great advantages in processing and mining of image information. Therefore, a growing number of scholars have started to focus on and research the utility of AI in breast imaging. Here, an overview of breast imaging databases and recent advances in AI research are provided, the challenges and problems in this field are discussed, and then constructive advice is further provided for ongoing scientific developments from the perspective of the National Natural Science Foundation of China. John Wiley and Sons Inc. 2023-07-20 /pmc/articles/PMC10582610/ /pubmed/37933287 http://dx.doi.org/10.1002/EXP.20230007 Text en © 2023 The Authors. Exploration published by Henan University and John Wiley & Sons Australia, Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Reviews You, Chao Shen, Yiyuan Sun, Shiyun Zhou, Jiayin Li, Jiawei Su, Guanhua Michalopoulou, Eleni Peng, Weijun Gu, Yajia Guo, Weisheng Cao, Heqi Artificial intelligence in breast imaging: Current situation and clinical challenges |
title | Artificial intelligence in breast imaging: Current situation and clinical challenges |
title_full | Artificial intelligence in breast imaging: Current situation and clinical challenges |
title_fullStr | Artificial intelligence in breast imaging: Current situation and clinical challenges |
title_full_unstemmed | Artificial intelligence in breast imaging: Current situation and clinical challenges |
title_short | Artificial intelligence in breast imaging: Current situation and clinical challenges |
title_sort | artificial intelligence in breast imaging: current situation and clinical challenges |
topic | Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582610/ https://www.ncbi.nlm.nih.gov/pubmed/37933287 http://dx.doi.org/10.1002/EXP.20230007 |
work_keys_str_mv | AT youchao artificialintelligenceinbreastimagingcurrentsituationandclinicalchallenges AT shenyiyuan artificialintelligenceinbreastimagingcurrentsituationandclinicalchallenges AT sunshiyun artificialintelligenceinbreastimagingcurrentsituationandclinicalchallenges AT zhoujiayin artificialintelligenceinbreastimagingcurrentsituationandclinicalchallenges AT lijiawei artificialintelligenceinbreastimagingcurrentsituationandclinicalchallenges AT suguanhua artificialintelligenceinbreastimagingcurrentsituationandclinicalchallenges AT michalopouloueleni artificialintelligenceinbreastimagingcurrentsituationandclinicalchallenges AT pengweijun artificialintelligenceinbreastimagingcurrentsituationandclinicalchallenges AT guyajia artificialintelligenceinbreastimagingcurrentsituationandclinicalchallenges AT guoweisheng artificialintelligenceinbreastimagingcurrentsituationandclinicalchallenges AT caoheqi artificialintelligenceinbreastimagingcurrentsituationandclinicalchallenges |