Abstract Machine learning techniques have great potential to improve medical diagnostics,
offering ways to improve accuracy, reproducibility and speed, and to ease workloads for …

Traditional pathology approaches have played an integral role in the delivery of diagnosis,
semi-quantitative or qualitative assessment of protein expression, and classification of …

Simple Summary Artificial intelligence (AI) technology has been advancing rapidly in recent
years and is being implemented in society. The medical field is no exception, and the clinical …

Cancer is associated with significant morbimortality globally. Advances in screening,
diagnosis, management and survivorship were substantial in the last decades, however …

Machine learning is increasingly integrated into clinical practice, with applications ranging
from pre-clinical data processing, bedside diagnosis assistance, patient stratification …

Bladder cancer (BCa) is the most common malignancy of the urinary tract and the most
expensive malignancy to treat over the patients' lifetime. In recent years a number of studies …

The digital information age has been a catalyst in creating a renewed interest in Artificial
Intelligence (AI) approaches, especially the subclass of computer algorithms that are …

Artificial intelligence (AI) has driven innovative transformation in healthcare service patterns,
despite a lack of understanding of its performance in clinical practice. We conducted a cross …

Objective There is increasing interest in using artificial intelligence (AI) in pathology to
improve accuracy and efficiency. Studies of clinicians' perceptions of AI have found only …

Artificial intelligence (AI) has the potential to revolutionize surgery in the coming years. Still,
it is essential to clarify what the meaningful current applications are and what can be …