AI-Driven Personalized Healthcare Solutions - Softcover

Softcover

ISBN 13: 9798369378595

Publisher: Medical Information Science Reference, 2025

Synopsis

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.

About this title

About the Author

Houssem Chemingui is a French Assistant Professor of Information Systems at Brest Business School, France. He earned his PhD in Computer Science from Université Paris 1 Panthéon-Sorbonne. His research focuses on artificial intelligence, data analytics, and software configuration. Dr. Chemingui has held teaching positions at Université Paris 1 Panthéon-Sorbonne and various Tunisian institutions. He has significantly contributed to methods for guided configuration of dynamic product lines and AI applications in logistics and marketing. An active participant in scientific events, he bridges the gap between academic research and practical applications.

Edition details

• Publisher: Medical Information Science Reference
• Publication date: 2025
• Language: English
• ISBN 13: 9798369378595
• Binding: Paperback
• Number of pages: 468
• Editor: Chemingui Houssem, Lamloumi Meriam