AIMC Topic: Laboratories, Clinical

Clear Filters Showing 11 to 20 of 27 articles

Toward High-Quality Real-World Laboratory Data in the Era of Healthcare Big Data.

Annals of laboratory medicine
With Industry 4.0, big data and artificial intelligence have become paramount in the field of medicine. Electronic health records, the primary source of medical data, are not collected for research purposes but represent real-world data; therefore, t...

Artificial intelligence in the clinical laboratory.

Clinica chimica acta; international journal of clinical chemistry
Laboratory medicine has become a highly automated medical discipline. Nowadays, artificial intelligence (AI) applied to laboratory medicine is also gaining more and more attention, which can optimize the entire laboratory workflow and even revolution...

Applications of artificial intelligence in clinical laboratory genomics.

American journal of medical genetics. Part C, Seminars in medical genetics
The transition from analog to digital technologies in clinical laboratory genomics is ushering in an era of "big data" in ways that will exceed human capacity to rapidly and reproducibly analyze those data using conventional approaches. Accurately ev...

Artificial Intelligence in the Clinical Laboratory: An Overview with Frequently Asked Questions.

Clinics in laboratory medicine
This article provides an overview of machine learning fundamentals and some applications of machine learning to clinical laboratory diagnostics and patient management. A key goal of this article is to provide a basic foundation in clinical machine le...

Clinlabomics: leveraging clinical laboratory data by data mining strategies.

BMC bioinformatics
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 technology. Up to now, AI has been applied to various aspects of ...

Energy Efficiency of Inference Algorithms for Clinical Laboratory Data Sets: Green Artificial Intelligence Study.

Journal of medical Internet research
BACKGROUND: The use of artificial intelligence (AI) in the medical domain has attracted considerable research interest. Inference applications in the medical domain require energy-efficient AI models. In contrast to other types of data in visual AI, ...

A highly accurate delta check method using deep learning for detection of sample mix-up in the clinical laboratory.

Clinical chemistry and laboratory medicine
OBJECTIVES: Delta check (DC) is widely used for detecting sample mix-up. Owing to the inadequate error detection and high false-positive rate, the implementation of DC in real-world settings is labor-intensive and rarely capable of absolute detection...

Disruptive innovations in the clinical laboratory: catching the wave of precision diagnostics.

Critical reviews in clinical laboratory sciences
Disruptive innovation is an invention that disrupts an existing market and creates a new one by providing a different set of values, which ultimately overtakes the existing market. Typically, when disruptive innovations are introduced, their performa...