Ai Driven Personalized Healthcare Solutions
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AI-Driven Personalized Healthcare Solutions
AI-driven personalized healthcare solutions transform approaches to medical treatment by personalizing care to the needs of individuals. Utilizing advanced algorithms, machine learning, and large amounts of patient data, AI enables more accurate diagnoses, predictive analytics, and customized treatment plans. This approach allows for early detection of diseases, enhanced monitoring of chronic conditions, and the ability to create precision medicine strategies specific to each patient's genetics, lifestyle, and health. Further research may encourage efficient, effective, and patient-centered care, improving outcomes and reducing healthcare costs. AI-Driven Personalized Healthcare Solutions explores the transformative role of AI in revolutionizing healthcare and medicine. It delves into the cutting-edge technologies, applications, and ethical considerations surrounding AI-driven healthcare solutions, from diagnosis and treatment to personalized medicine and patient care. This book covers topics such as telemedicine, disease detection, and healthcare monitoring, and is a useful resource for computer engineers, healthcare professionals, scientists, academicians, and researchers.
Artificial Intelligence in Healthcare
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Precision Medicine and Artificial Intelligence
Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity covers background on artificial intelligence (AI), its link to precision medicine (PM), and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as AI has gained significant attention during the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems have enabled the generation of large datasets, making autoimmunity an ideal target for AI and precision medicine. More and more diagnostic products utilize AI, which is also starting to be supported by regulatory agencies such as the Food and Drug Administration (FDA). Knowledge generation by leveraging large datasets including demographic, environmental, clinical and biomarker data has the potential to not only impact the diagnosis of patients, but also disease prediction, prognosis and treatment options. Allows the readers to gain an overview on precision medicine for autoimmune diseases leveraging AI solutions Provides background, milestone and examples of precision medicine Outlines the paradigm shift towards precision medicine driven by value-based systems Discusses future applications of precision medicine research using AI Other aspects covered in the book include regulatory insights, data analytics and visualization, types of biomarkers as well as the role of the patient in precision medicine