Digitalization and artificial intelligence in laboratory medicine

Abstract

Digitalization and artificial intelligence in laboratory medicine interpretation will further increase the effectiveness of laboratory diagnostics in the process of intensive dialogue/ consultation and clinical decision-making. Medical laboratories may play an active role in the future as a "nerve center of diagnostics" and joining the patient and physician to form a "Diagnostics 4.0" triangle. As the big data continue to grow in healthcare, the need for implementing AI and ML techniques into laboratory medicine is inevitable. In this new AI-supported era, clinical laboratories will move towards a more specialized role in translational medicine, advanced technology, management of clinical information, and quality control of results generated outside the laboratory. The field of laboratory medicine should consider such a development sooner rather than later.