Methods A PubMed search with keywords (“breast neoplasm” or “breast cancer”) and
(“pathology” or “histopathology”) and (“artificial intelligence” or “deep learning”) was …

This is a review on the use of artificial intelligence for digital breast pathology. A systematic
search on PubMed was conducted, identifying 17,324 research papers related to breast …

Incorporating scientific research into clinical practice via clinical informatics, which includes
genomics, proteomics, bioinformatics, and biostatistics, improves patients' treatment …

With the development of artificial intelligence technology and computer hardware functions,
deep learning algorithms have become a powerful auxiliary tool for medical image analysis …

Breast cancer is the most common cancer and second leading cause of cancer-related
death worldwide. The mainstay of breast cancer workup is histopathological diagnosis …

Breast cancer is a very common and life-threatening disease in women worldwide. The
number of breast cancer cases is increasing with time. Prevention of this disease is very …

Breast cancer is diagnosed using histopathological imaging. This task is extremely time-
consuming due to high image complexity and volume. However, it is important to facilitate …

Breast cancer is one of the precarious conditions that affect women, and a substantive cure
has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep …

Medical imaging is gaining significant attention in healthcare, including breast cancer.
Breast cancer is the most common cancer-related death among women worldwide …

Breast cancer remains a highly prevalent disease with considerable inter-and intra-tumoral
heterogeneity complicating prognostication and treatment decisions. The utilization and …