Precision Health In The Digital Age Harnessing Ai For Personalized Care

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Precision Health in the Digital Age: Harnessing AI for Personalized Care

Author: Papadopoulou, Paraskevi
language: en
Publisher: IGI Global
Release Date: 2024-12-06
The evolving healthcare landscape is now challenging healthcare providers and researchers to deliver personalized care considering individual genetic, lifestyle, and environmental factors. To tailor treatments and interventions to each patient's unique profile in a timely manner, they need to harness the vast amounts of readily available data. Artificial intelligence (AI) has immense potential to revolutionize precision health by enabling the analysis of large datasets and generating actionable insights for personalized care. However, implementing AI in healthcare comes with challenges, including ethical considerations, regulatory frameworks, and the need for healthcare professionals to develop competencies in AI technologies. Precision Health in the Digital Age: Harnessing AI for Personalized Care offers a comprehensive solution for healthcare professionals, researchers, and policymakers seeking to leverage AI in precision health. The book explores the latest advancements in AI technologies, showcases their applications in precision medicine, and provides a roadmap for integrating AI into healthcare systems. It offers practical insights for improving patient outcomes through case studies and real-world examples of successful implementations of AI-driven precision medicine and health solutions.
AI-Driven Healthcare Cybersecurity and Privacy

As healthcare systems adopt advanced technologies like electronic health records, telemedicine, and wearable health devices, the volume of sensitive information grows, making it a target for cyberattacks. Artificial intelligence (AI) enhances security by offering real-time threat detection, anomaly identification, and adaptive defenses that can anticipate and counter cyber threats. AI plays a pivotal role in ensuring privacy by implementing advanced encryption techniques, access controls, and compliance monitoring, all while maintaining patient care. Further research of the integration of AI into healthcare cybersecurity strategies may assist organizations in strengthening their defenses, protecting patient confidentiality, and ensuring regulatory compliance in a digital landscape. AI-Driven Healthcare Cybersecurity and Privacy explores the integration of intelligent technologies into medical data security and privacy. It examines the role of AI in securing patients’ medical information, as well as organizational privacy techniques for broader healthcare systems. This book covers topics such as federated learning, deep learning, and cloud technology, and is a useful resource for engineers, computer and data scientists, security professionals, medical and healthcare workers, academicians, and researchers.
Practical Frameworks for New-Age Digitalization Business Strategy

In today’s digital landscape, businesses must adopt forward-thinking strategies to remain competitive. New-age digitalization implements advanced technologies and integrates them into every aspect of business operations to drive innovation, agility, and customer-centric value. Practical frameworks like digital transformation plans, data-driven decision-making, and platform-based systems become essential tools for organizations navigating this shift. These frameworks provide structured approaches for leveraging emerging technologies, while aligning digital initiatives with strategic business goals. Further research may present new strategies for effective sustainability and scalability. Practical Frameworks for New-Age Digitalization Business Strategy explores digitalization and sustainability practices and their impact on businesses in terms of marketing and management strategies for market demand and sustainable growth. It examines new approaches to market adaptability in the age of digitalization and sustainability. This book covers topics such as cloud computing, data privacy, and management studies, and is a useful resource for business owners, computer engineers, managers, academicians, researchers, and data scientists.