Validation and real-world clinical application of an artificial intelligence algorithm for breast cancer detection in biopsies.

ABSTRACT: Breast cancer is the most common malignant disease worldwide, with over 2.26 million new cases in 2020. Its diagnosis is determined by a histological review of breast biopsy specimens, which can be labor-intensive, subjective, and error-prone. Artificial Intelligence (AI)-based tools can support cancer detection and classification in breast biopsies ensuring rapid, accurate, and objective diagnosis. We present here the development, external clinical validation, and deployment in routine use of an AI-based quality control solution for breast biopsy review. The underlying AI algorithm is trained to identify 51 different types of clinical and morphological features, and it achieves very high accuracy in a large, multi-site validation study. Specifically, the area under the receiver operating

SUBMITTER: Sandbank J 

PROVIDER: S-EPMC9723672 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature