Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications

Cover
Title Page
Copyright Page
Book Series
Table of Contents
Detailed Table of Contents
Preface
Chapter 1: Managing and Monitoring Patient\'s Healthcare Using AI and IoT Technologies
Chapter 2: Healthcare Smart Sensors
Chapter 3: Enhancing Prediction Precision and Reliability in Cervical, Lung, and Breast Cancer Diagnosis
Chapter 4: Deep Learning Frameworks in the Healthcare Industry
Chapter 5: Bone Fracture Detection and Classification Using Deep Learning Techniques
Chapter 6: Tackling Depression Detection With Deep Learning
Chapter 7: Fuzzy Thresholding-Based Brain Image Segmentation Using Multi-Threshold Level Set Model
Chapter 8: Healthcare Performance in Predicting Type 2 Diabetes Using Machine Learning Algorithms
Chapter 9: Leveraging Deep Learning for Early Diagnosis of Alzheimer\'s Using Comparative Analysis of Convolutional Neural Network Techniques
Chapter 10: A Thorough Examination of AI Integration in Diagnostic Imaging
Chapter 11: Internet of Things-Combined Deep Learning for Electroencephalography-Based E-Healthcare
Chapter 12: Investigation on Identification of Three-Compartment Model for the Benchmark Pharmacokinetic System
Chapter 13: Implementation of Machine Learning for Smart Wearables in the Healthcare Sector
Chapter 14: Internet of Medical Laboratory Things (IoMLTs) in the High-Tech Healthcare Industry
Chapter 15: AI-Driven Content Developing and Designing for Teaching Materials of Digital Healthcare
Chapter 16: An Integrated Approach to Next-Generation Telemedicine and Health Advice Systems Through AI Applications in Disease Diagnosis
Compilation of References
About the Contributors
Index