Simple Summary Risk assessment in early breast cancer is critical for clinical decisions, but
defining risk categories poses a significant challenge. The integration of conventional …

Novel screening and diagnostic tests based on artificial intelligence (AI) image recognition
algorithms are proliferating. Some initial reports claim outstanding accuracy followed by …

Artificial intelligence (AI)‐based diagnostic tools can offer numerous benefits to the field of
histopathology, including improved diagnostic accuracy, efficiency and productivity. As a …

Accurate prediction of recurrence and progression in non-muscle invasive bladder cancer
(NMIBC) is essential to inform management and eligibility for clinical trials. Despite …

Abstract Machine Learning (ML) and Artificial Intelligence (AI) have become an integral part
of the drug discovery and development value chain. Many teams in the pharmaceutical …

Purpose This review provides an overview of the current state of artificial intelligence (AI)
technology for automated detection of breast cancer in digital mammography (DM) and …

Artificial Intelligence based systems are exerting tremendous influence in the way we
practice and render care to our patients. Improvements in computing capacities, decreasing …

PURPOSE To determine how radiology, nuclear medicine, and medical imaging journals
encourage and mandate the use of reporting guidelines for artificial intelligence (AI) in their …

Although artificial intelligence (AI) methods hold promise for medical imaging-based
prediction tasks, their integration into medical practice may present a double-edged sword …

The rapid growth of artificial intelligence (AI) and deep learning techniques require access to
large inter-institutional cohorts of data to enable the development of robust models, eg …