Full Description
This book delves into the intersection of fuzzy logic and artificial intelligence as applied to healthcare. It explores how these technologies enhance patient care through advanced decision-making systems that mimic human reasoning under uncertainty. Readers find particular interest in the detailed methodologies for integrating fuzzy logic with AI to optimize diagnosis, treatment planning, and personalized healthcare management. This book stands out with its clear didactic approach, offering practical insights supported by illustrative examples, tables summarizing key findings, and a comprehensive yet accessible presentation of complex topics. Unlike other texts, it emphasizes real-world applications and benefits, empowering healthcare professionals and researchers to implement intelligent systems effectively, ultimately improving patient outcomes and healthcare efficiency.
Contents
Introduction to Fuzzy Logic in Healthcare.- Principles of AI-driven Healthcare Systems.- Ethical and Privacy Concerns in Smart Healthcare Systems.- Fuzzy Logic in Disease Diagnosis and Prediction.- Imaging and Signal Processing with Fuzzy Techniques.- Fuzzy Rule-based Systems for Symptom Analysis.- Fuzzy Systems in Real-time Patient Monitoring.- Personalized Treatment Planning using AI and Fuzzy Logic.- Home Healthcare Solutions using Fuzzy Logic.- AI-driven Fuzzy Logic for Physiotherapy and Rehabilitation.- Fuzzy Control Systems in Medical Robotics.- Fuzzy Logic in Pain Management and Mental Health.- Fuzzy Logic for Hospital Resource Management.- AI-Fuzzy Techniques in Supply Chain Management.- Smart Scheduling and Workflow Management.- Emerging Trends in AI and Fuzzy Logic for Healthcare.- Challenges and Opportunities in Smart Healthcare.
