Publisher's Synopsis
Artificial intelligence (AI) is transforming healthcare by enhancing diagnostic accuracy, streamlining treatment plans, and improving patient outcomes. AI-powered systems can analyze vast amounts of medical data, identify patterns, and assist healthcare professionals in making more precise and timely decisions. These advancements enable early disease detection, personalized treatment strategies, and more efficient resource allocation in medical settings. As AI continues to evolve, it holds the potential to bridge gaps in healthcare accessibility, particularly in underserved regions. However, ethical considerations, data privacy, and the integration of AI with human expertise remain critical challenges that must be addressed to fully realize its benefits. AI-Powered Systems for Healthcare Diagnostics and Treatment delves into the transformative integration of green AI technologies with intelligent systems to revolutionize disease prognosis. It explores how these technologies can predict, monitor, and manage diseases with reduced environmental impact. This book covers topics such as medical education, risk assessment, and data management, and is a useful resource for medical and healthcare professionals, business owners, computer engineers, data scientists, researchers, and academicians.
