Antimicrobial resistance (AMR) is a major threat to human health worldwide, and the rapid
detection and quantification of resistance, combined with antimicrobial stewardship, are key …

Modern hyperspectral imaging systems produce huge datasets potentially conveying a great
abundance of information; such a resource, however, poses many challenges in the …

The recent global focus on big data in medicine has been associated with the rise of artificial
intelligence (AI) in diagnosis and decision-making following recent advances in computer …

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 …

Abstract Full Laboratory Automation is revolutionizing work habits in an increasing number
of clinical microbiology facilities worldwide, generating huge streams of digital images for …

Timely diagnosis of microorganisms in blood cultures is necessary to optimize therapy.
Although blood culture media and systems have evolved for decades, the standard interval …

Background Although it has been 30 years since the first automation systems were
introduced in the microbiology laboratory, total laboratory automation (TLA) has only …

Laboratory medicine is integral to public health and healthcare provision, and it relies on
numerous analytical techniques to provide timely, objective data to healthcare professionals …

Abstract Background and Aims Artificial intelligence (AI) has emerged as a transformative
force in laboratory medicine, promising significant advancements in healthcare delivery …

The growing transition to digital microbiology in clinical laboratories creates the opportunity
to interpret images using software. Software analysis tools can be designed to use human …