Artificial Intelligence In Clinical Microbiology

Artificial Intelligence in Clinical Microbiology: From Diagnostics to Digital Health Systems explores how AI can transform microbiology laboratories, hospitals, and public health systems. Written for microbiologists, clinicians, students, and healthcare administrators, the book explains how machine learning, deep learning, data engineering, automation, genomics, surveillance, and clinical decision-support systems can improve diagnosis, antimicrobial resistance prediction, infection control, outbreak response, and personalized treatment. It focuses on practical implementation, especially in resource-limited and Indian healthcare settings, showing how existing laboratory and clinical data can be connected intelligently to reduce delays, support faster decisions, and build a more predictive, integrated healthcare ecosystem.