AI Medical Compendium Journal:
Critical reviews in clinical laboratory sciences

Showing 1 to 6 of 6 articles

Machine learning models for acute kidney injury prediction and management: a scoping review of externally validated studies.

Critical reviews in clinical laboratory sciences
Despite advancements in medical care, acute kidney injury (AKI) remains a major contributor to adverse patient outcomes and presents a significant challenge due to its associated morbidity, mortality, and financial cost. Machine learning (ML) is incr...

Artificial intelligence in serum protein electrophoresis: history, state of the art, and perspective.

Critical reviews in clinical laboratory sciences
Serum protein electrophoresis (SPEP) is a valuable laboratory test that separates proteins from the blood based on their electrical charge and size. The test can detect and analyze various protein abnormalities, and the interpretation of graphic SPEP...

Emerging applications of machine learning in genomic medicine and healthcare.

Critical reviews in clinical laboratory sciences
The integration of artificial intelligence technologies has propelled the progress of clinical and genomic medicine in recent years. The significant increase in computing power has facilitated the ability of artificial intelligence models to analyze ...

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...

Automation and artificial intelligence in the clinical laboratory.

Critical reviews in clinical laboratory sciences
The daily operation of clinical laboratories will be drastically impacted by two disruptive technologies: automation and artificial intelligence (the development and use of computer systems able to perform tasks that normally require human intelligen...

Deep learning for image analysis: Personalizing medicine closer to the point of care.

Critical reviews in clinical laboratory sciences
The precision-based revolution in medicine continues to demand stratification of patients into smaller and more personalized subgroups. While genomic technologies have largely led this movement, diagnostic results can take days to weeks to generate. ...