A comprehensive examination of how artificial intelligence and machine learning algorithms are transforming the early detection, diagnosis, and management of sepsis — one of the leading causes of ICU mortality worldwide.
Buy on Amazon ↗You will be redirected to Amazon to complete your purchase. Returns handled per Amazon's policies — see our Return & Refund Policy.
Sepsis kills more than 11 million people every year worldwide. Early recognition and rapid intervention are the most critical determinants of survival — yet traditional clinical scoring systems consistently fail to identify high-risk patients before deterioration becomes irreversible. Artificial intelligence is changing that equation. This book provides a rigorous, clinically grounded examination of how machine learning models, natural language processing, and real-time alert systems are being integrated into ICU workflows to predict sepsis onset, stratify organ failure risk, and guide treatment decisions at the bedside. Dr. Alberto Saraiva Tiburcio draws on current evidence from landmark studies including the Sepsis-3 consensus, Epic Sepsis Model validation trials, and emerging research from leading academic medical centers to explain both the promise and the limitations of AI-driven sepsis care. The book does not assume a technical background in data science. It is written for clinicians — intensivists, emergency physicians, infection control specialists, and hospital administrators — who need to understand AI tools well enough to evaluate them critically, implement them responsibly, and explain them to patients and colleagues.