Research progress of artificial intelligence in evaluating the efficacy of neoadjuvant chemotherapy for breast cancer
Breast cancer is a major oncological challenge for females worldwide. The incorporation of neoadjuvant chemotherapy into comprehensive management strategies for breast cancer underscores the importance of the precise prognostication of therapeutic efficacy. In clinical diagnostics, medical imaging h...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-09-01
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| Series: | EngMedicine |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2950489924000241 |
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| author | Wei Wei Menghang Ma Zhenyu Liu |
| author_facet | Wei Wei Menghang Ma Zhenyu Liu |
| author_sort | Wei Wei |
| collection | DOAJ |
| description | Breast cancer is a major oncological challenge for females worldwide. The incorporation of neoadjuvant chemotherapy into comprehensive management strategies for breast cancer underscores the importance of the precise prognostication of therapeutic efficacy. In clinical diagnostics, medical imaging has emerged as a critical tool for delineating the structural transformations within breast cancer tumors resulting from pharmacological interventions. The evolution of artificial intelligence (AI) technologies has precipitated the delineation and quantification of imaging-based phenotypic features, thereby translating these structural modifications into quantifiable data alterations. This analytical approach has led to the development of innovative biomarkers for enhancing the predictability of neoadjuvant chemotherapy outcomes. This study aimed to elucidate the instrumental role of AI technology in the prognosis of neoadjuvant chemotherapy efficacy in breast cancer through the analytical exploration of ultrasound, magnetic resonance imaging, and histopathological imagery, while envisaging prospective trajectories within this research domain. |
| format | Article |
| id | doaj-art-39bb64a991954321878f5318edaa607a |
| institution | OA Journals |
| issn | 2950-4899 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | EngMedicine |
| spelling | doaj-art-39bb64a991954321878f5318edaa607a2025-08-20T02:37:24ZengElsevierEngMedicine2950-48992024-09-011210002410.1016/j.engmed.2024.100024Research progress of artificial intelligence in evaluating the efficacy of neoadjuvant chemotherapy for breast cancerWei Wei0Menghang Ma1Zhenyu Liu2School of Electronics and Information, Xi'an Polytechnic University, Xi'an, 710048, China; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, ChinaSchool of Electronics and Information, Xi'an Polytechnic University, Xi'an, 710048, ChinaCAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; Corresponding author.Breast cancer is a major oncological challenge for females worldwide. The incorporation of neoadjuvant chemotherapy into comprehensive management strategies for breast cancer underscores the importance of the precise prognostication of therapeutic efficacy. In clinical diagnostics, medical imaging has emerged as a critical tool for delineating the structural transformations within breast cancer tumors resulting from pharmacological interventions. The evolution of artificial intelligence (AI) technologies has precipitated the delineation and quantification of imaging-based phenotypic features, thereby translating these structural modifications into quantifiable data alterations. This analytical approach has led to the development of innovative biomarkers for enhancing the predictability of neoadjuvant chemotherapy outcomes. This study aimed to elucidate the instrumental role of AI technology in the prognosis of neoadjuvant chemotherapy efficacy in breast cancer through the analytical exploration of ultrasound, magnetic resonance imaging, and histopathological imagery, while envisaging prospective trajectories within this research domain.http://www.sciencedirect.com/science/article/pii/S2950489924000241Breast cancerNeoadjuvant chemotherapyMedical imagingArtificial intelligence |
| spellingShingle | Wei Wei Menghang Ma Zhenyu Liu Research progress of artificial intelligence in evaluating the efficacy of neoadjuvant chemotherapy for breast cancer EngMedicine Breast cancer Neoadjuvant chemotherapy Medical imaging Artificial intelligence |
| title | Research progress of artificial intelligence in evaluating the efficacy of neoadjuvant chemotherapy for breast cancer |
| title_full | Research progress of artificial intelligence in evaluating the efficacy of neoadjuvant chemotherapy for breast cancer |
| title_fullStr | Research progress of artificial intelligence in evaluating the efficacy of neoadjuvant chemotherapy for breast cancer |
| title_full_unstemmed | Research progress of artificial intelligence in evaluating the efficacy of neoadjuvant chemotherapy for breast cancer |
| title_short | Research progress of artificial intelligence in evaluating the efficacy of neoadjuvant chemotherapy for breast cancer |
| title_sort | research progress of artificial intelligence in evaluating the efficacy of neoadjuvant chemotherapy for breast cancer |
| topic | Breast cancer Neoadjuvant chemotherapy Medical imaging Artificial intelligence |
| url | http://www.sciencedirect.com/science/article/pii/S2950489924000241 |
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