Artificial Intelligence in e-Health Framework, Volume 1: AI, Classification, Wearable Devices, Computer-Aided Diagnosis, E-Health Records

Artificial Intelligence in e-health Framework, Volume 1: Classification, Wearable Devices, Computer-Aided Diagnosis, E-Health Records presents a variety of AI techniques and applications for solving issues in the healthcare industry. As Artificial Intelligence is increasingly incorporated into medical systems and methods, it is critical to understand the formulations and basics of machine and deep learning as well as how to implement these advances into practice. This book specifically explores Artificial Intelligence developments in disease diagnosis, health monitoring, medical image recognition and diagnostics, as well as e-health records management. It is a valuable resource for health professionals, scientists and researchers, students, and all who wish to broaden their knowledge in this advancing technology. Provides an in-depth introduction to Artificial Intelligence in e-health frameworkReviews theoretical and application information to develop understanding of AI advances in diagnostics, health monitoring, and records managementDiscusses advanced AI techniques in both machine learning and deep learning for solving healthcare industry issues INDICE: Section 1: Introduction to Artificial Intelligence 1. Data Processing 2. Regression Algorithm 3. Classification Algorithm 4. Clustering Algorithm 5. Deep Learning Section 2: Application of Artificial Intelligence in Disease Diagnosis 6. Disease Detection 7. Disease Classification 8. Improving the Decision-making Process 9. AI-based Treatment Solutions 10. Application of AI in Big Data Management Section 3: AI in Health Monitoring and Wearables Devices 11. Remote Heart Monitoring with AI 12. Predicting Women’s Fertility with AI 13. AI Wearable for the Visually Impaired 14. AI Wearable for Deaf and Dumb 15. AI for Chronic Illness Patients Section 4: Application of AI Medical Image Recognition 16. Identifying Cardiovascular Abnormalities 17. Detecting Fractures and other Musculoskeletal Injuries 18. Aiding in the Diagnosis Neurological Diseases 19. Flagging Thoracic Complications and Conditions 20. Screening for Common Cancers Section 5: AI in E-Health Records Management 21. Integration of Personal Records in AI Framework 22. Automated Extraction of Patient Information using AI 23. AI to Identify Patterns and Perform Outcome Predictions 24. AI-based Clinical Decision Support (CDS) 25. AI in Healthcare Natural Language

• ISBN: 978-0-443-13816-4
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 625
• Fecha Publicación: 01/09/2025
• Nº Volúmenes: 1
• Idioma: Inglés