Values of artificial intelligence breast ultrasound in diagnosis and prognosis assessment of breast carcinoma

doi:10.3877/cma.j.issn.1673-5250.2020.03.018

The application of artificial intelligence (AI) breast ultrasonography for diagnosis breast carcinoma and prognosis prediction of breast cancer treatment can not only save time for ultrasound doctors, but also reduce the misdiagnosis and miss diagnosis cause by the lack of experience and skills of beginners. Modern medical imaging is one of the earliest areas where AI plays an important role in clinic. As a cross-sectional imaging technology, breast ultrasound image (BUI) collected by AI breast ultrasonography uses a computer-aided design (CAD) system to perform computer-aided diagnosis of breast cancer, and it can improve the accuracy of clinical diagnosis of breast cancer. Up to now, the intelligent CAD system can help ultrasound doctors more effectively screening early breast cancer. AI breast ultrasound can automatically identify and classify breast cancer lesions, and even simulate clinicians in diagnosis and prognosis prediction of patients with breast cancer. This article focuses on the latest research progresses of diagnosis and prognosis prediction of breast cancer by AI breast ultrasound.

Key words: Breast neoplasms, Ultrasonography, mammary, Artificial intelligence, Diagnosis, computer-assisted, Image processing, computer-assisted, Prognosis assessment, Female

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