Application of Artificial Intelligence in Breast Medical Imaging Diagnosis

Application of Artificial Intelligence in Breast Medical Imaging Diagnosis

Yao Xiao1*, Yiyuan Qu1, Tingting Wu1

1College of Medicine, China Three Gorges University, Yichang, 443002, China.

American Journal of Cancer Research and Reviews

According to the latest report on urban cancer in China published in 2017: China is one of the countries with the fastest growing incidence of breast cancer, and the age of onset has gradually become younger. Newly diagnosed breast cancer patients in China account for 12.2% of new breast cancer patients worldwide, and the mortality rate is 9.6%. A large amount of clinical experience has proven that the survival rate of breast cancer detected at an early stage is significantly higher than that detected at an advanced stage. Imaging examination is an important method for early detection of breast cancer. With the advent of the Artificial Intelligent, the method of AI + medical imaging has been widely used in lungs, breasts, heart, skull, liver, prostate, bones and other parts. Methods used in breast cancer screening include: breast self-examination and clinical physical examination, mammography of mammography of the breast, ultrasound of the breast, and magnetic resonance imaging (MRI) of the breast. The advantages and disadvantages have been reflected in the development and application in recent years. This article will review the advantages and disadvantages of combined diagnosis of AI and breast medicine. It is hoped that the artificial intelligence of medical imaging screening for breast diseases has a brighter and broader prospect.

Keywords: Breast; Medical imaging; Artificial intelligence (AI); Advantages and disadvantages

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How to cite this article:
Yao Xiao, Yiyuan Qu, Tingting Wu. Application of Artificial Intelligence in Breast Medical Imaging Diagnosis. American Journal of Cancer Research and Reviews, 2020; 4:12. DOI:10.28933/ajocrr-2020-03-1505

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