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

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 …

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 Modern artificial intelligence (AI) and machine learning (ML) methods are now
capable of completing tasks with performance characteristics that are comparable to those of …

The daily operation of clinical laboratories will be drastically impacted by two disruptive
technologies: automation and artificial intelligence (the development and use of computer …

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

Investigation of artificial intelligence (AI) applications in health care has accelerated rapidly
in recent years. Accordingly, there are also rapid advancements in this area applied to the …

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 …

Clinical diagnostic laboratories produce one product—information—and for this to be
valuable, the information must be clinically relevant, accurate, and timely. Although …