Artificial intelligence as a smart approach in clinical microbiology laboratory

Abstract

Artificial intelligence (AI) is rapidly growing field with potential impact on global health. AI involves an algorithmic rule which have been used to analyse a set of data with an automated system. AI is expeditiously penetrating the field of biotechnology and microbiology with higher impact in clinical laboratories, disease diagnosis and healthcare. In addition, emergence of AI will be highly beneficial for clinical microbiologist, academicians, and researchers. It provides optimal efficiency and quality, with rapid and cost-effective results for disease diagnosis. In this chapter, we elaborate some of the routine diagnosis test occurred in clinical microbiology laboratories. Further, we explore the AI applications in image analysis of microbial staining, bacterial infection, ova and parasite examination, analysis of antimicrobial resistance with whole genome sequencing (WGS) and matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) is also enlightened here. © 2024 Elsevier Ltd