Application and research prospects of artificial intelligence in breast cancer pathological diagnosis

Breast cancer is one of the most common cancers affecting women globally. With the advent of digital pathology slide scanners and the continuous evolution of deep learning algorithms, there has been a significant advancement in the application of artificial intelligence (AI) in the diagnosis and treatment of breast cancer. This article provided an overview of the current research and application status of AI in breast cancer pathological diagnosis, and summarized the challenges encountered as well as future directions in this field.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-09-01
DOI
https://doi.org/10.16139/j.1007-9610.2024.05.04
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Application and research prospects of artificial intelligence in breast cancer pathological diagnosis

SHILAP Revista de lepidopterología
AI in cancer detection
article

Application and research prospects of artificial intelligence in breast cancer pathological diagnosis

article en

Abstract

Breast cancer is one of the most common cancers affecting women globally. With the advent of digital pathology slide scanners and the continuous evolution of deep learning algorithms, there has been a significant advancement in the application of artificial intelligence (AI) in the diagnosis and treatment of breast cancer. This article provided an overview of the current research and application status of AI in breast cancer pathological diagnosis, and summarized the challenges encountered as well as future directions in this field.

SHILAP Revista de lepidopterología
Openalex Percentile: Top 70%
AI in cancer detection
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Application and research prospects of artificial intelligence in breast cancer pathological diagnosis · SHILAP Revista de lepidopterología (2024) | TGRS Research Map | TGRS