Deep learning (DL) has become a remarkably powerful tool for image processing recently.
However, the usefulness of DL in positron emission tomography (PET)/computed …

Artificial intelligence (AI), a rousing advancement disrupting a wide spectrum of applications
with remarkable betterment, has continued to gain momentum over the past decades. Within …

Artificial intelligence in breast imaging: potentials and challenges Page 1 Physics in Medicine
& Biology ACCEPTED MANUSCRIPT • OPEN ACCESS Artificial intelligence in breast …

The ultimate goals of the application of artificial intelligence (AI) to digital breast
tomosynthesis (DBT) are the reduction of reading times, the increase of diagnostic …

Artificial intelligence (AI) has an enorgmoust potential to improve radiologic diagnostics,
efficiency, and consistency, through implementation of evidence-based regulations is crucial …

Breast cancer screening has evolved substantially over the past few decades because of
advancements in new image acquisition systems and novel artificial intelligence (AI) …

Artificial intelligence (AI) algorithms have an enormous potential to impact the field of
radiology and diagnostic imaging, especially the field of cancer imaging. There have been …

This topical review is focused on the clinical breast x-ray imaging applications of the rapidly
evolving field of artificial intelligence (AI). The range of AI applications is broad. AI can be …

In breast imaging, there is an unrelenting increase in the demand for breast imaging
services, partly explained by continuous expanding imaging indications in breast diagnosis …

Breast ultrasound is a valuable adjunctive tool to mammography in detecting breast cancer,
especially in women with dense breasts. Ultrasound also plays an important role in staging …