Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems 1st Edition

Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems (1st Edition) is a clear, practical guide bridging foundational AI theory and real-world healthcare transformation. Perfect for clinicians, health IT leaders, students, and policymakers, this book translates complex concepts—machine learning, deep learning, natural language processing, and predictive analytics—into actionable strategies for hospitals, clinics, telemedicine platforms, and public-health programs.

Start with a compelling overview of core AI principles, then move into focused chapters on clinical decision support, medical imaging, electronic health record analytics, remote patient monitoring, and workflow automation. Each section explains technical methods in plain language, highlights ethical and regulatory considerations such as data privacy and algorithmic bias, and outlines implementation challenges and solutions for diverse healthcare settings across the US, UK, Europe, India, and beyond.

Readers will appreciate pragmatic frameworks for project planning, metrics for evaluating AI impact on patient outcomes and operational efficiency, and guidance on interdisciplinary collaboration between clinicians, data scientists, and administrators. Whether you’re exploring AI pilots or scaling enterprise-wide systems, this book empowers you to make informed choices that improve care quality, reduce costs, and enhance patient safety.

Authoritative yet accessible, this first edition is an essential resource for anyone shaping the future of modern healthcare systems with artificial intelligence. Equip your team with insights that turn innovation into measurable results—order your copy today and start transforming care delivery with confidence.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.