The contribution of laboratory medicine in delivering value-based care depends on active
cooperation and trust between pathologist and clinician. The effectiveness of medicine more …

The term Artificial Intelligence (AI) was originally used by John McCarthy at the Dartmouth
conference in 1956 and was defined as the “theory and development of computer systems …

Growing numbers of artificial intelligence applications are being developed and applied to
pathology and laboratory medicine. These technologies introduce risks and benefits that …

Objectives As laboratory medicine continues to undergo digitalization and automation,
clinical laboratorians will likely be confronted with the challenges associated with artificial …

Objectives The field of artificial intelligence (AI) has grown in the past 10 years. Despite the
crucial role of laboratory diagnostics in clinical decision-making, we found that the majority …

Artificial intelligence (AI) and data science are rapidly developing in healthcare, as is their
translation into laboratory medicine. Our review article presents an overview of the data …

Laboratory medicine has evolved from a mainly manual profession, providing few selected
test results to a highly automated and standardized medical discipline, generating millions of …

Background Artificial intelligence (AI) is rapidly being developed and implemented to
augment and automate decision-making across healthcare systems. Being an essential part …

The use of black box algorithms in medicine has raised scholarly concerns due to their
opaqueness and lack of trustworthiness. Concerns about potential bias, accountability and …

Introduction Ethical and legal factors will have an important bearing on when and whether
automation is appropriate in healthcare. There is a developing literature on the ethics of …