Background Artificial intelligence (AI) is rapidly fuelling a fundamental transformation in the
practice of pathology. However, clinical integration remains challenging, with no AI …

Context.—Machine learning (ML) allows for the analysis of massive quantities of high-
dimensional clinical laboratory data, thereby revealing complex patterns and trends. Thus …

The application of artificial intelligence (AI) in the field of medicine has revolutionised
various sectors of the health care system, including robotics surgery, biotechnology …

Bladder cancer has been increasing globally. Urinary cytology is considered a major
screening method for bladder cancer, but it has poor sensitivity. This study aimed to utilize …

Background Public awareness of artificial intelligence (AI) is increasing and this novel
technology is being used for a range of everyday tasks and more specialist clinical …

The amount of data generated in the field of laboratory medicine has grown to an extent that
conventional laboratory information systems (LISs) are struggling to manage and analyze …

Background Measuring parathyroid hormone-related peptide (PTHrP) helps diagnose the
humoral hypercalcemia of malignancy, but is often ordered for patients with low pretest …

Aim of the study: To examine the effect of controlled-cortical impact (CCI), a preclinical
model of traumatic brain injury (TBI), on intestinal integrity using a binary classification …

У статті представлено огляд сучасного стану і розвитку штучного інтелекту в медичній
галузі, існуючі впровадження, показано необхідність впровадження в медичних …

Laboratory medicine has become a highly automated medical discipline. Nowadays,
artificial intelligence (AI) applied to laboratory medicine is also gaining more and more …