راهنمای جامع مدل‌های مبتنی بر هوش مصنوعی در بهداشت و درمان و پزشکی ۲۰۲۴
Handbook of AI-Based Models in Healthcare and Medicine 2024

1. Cover

2. Half-Title

3. Series

4. Title

5. Copyright

6. Contents

7. Preface

8. About the Editors

9. Contributors

10. About the Book

11. Chapter 1 Edge Computing in Healthcare: Concepts, Tools, Techniques, and Use Cases

12. Chapter 2 History and Role of AI in Healthcare and Medicine

13. Chapter 3 Drug Discovery Using Explainable AI Approaches: The Current Scenario

14. Chapter 4 Supervised Learning Models for Diagnosing Severity of Cirrhosis Disease

15. Chapter 5 3D Volumetric Computed Tomography from 2D X-Rays: A Deep Learning Perspective

16. Chapter 6 GAN-Based Encoder-Decoder Model for Multi-Label Diagnostic Scan Classification and Automated Radiology Report Generation

17. Chapter 7 A Survey of Machine Learning- and Deep Learning-Based Techniques for Diabetic Retinopathy Screening

18. Chapter 8 An Embedded Solution for Real-Time Implementation of a Deep Learning Model for Malicious Breast Tumour Detection

19. Chapter 9 Towards Robust Diagnosis of Alzheimer’s Disease Using Ensemble Framework of Convolutional Neural Network and Vision Transformer

20. Chapter 10 RetinalAlexU-Net: Segmentation of the Retinal Vascular Network for the Diagnosis of Diabetic Retinopathy

21. Chapter 11 Decoding EEG Signals to Generate Images Using GANs

22. Chapter 12 Mental Health Disorder through Electroencephalogram Analysis using Computational Model

23. Chapter 13 Machine Learning Techniques in ECG Data Analysis for Medical Applications

24. Chapter 14 Heartcare Assistance System: A Machine Learning-Based Cardiovascular Risk Monitoring Tool (CRMT)

25. Chapter 15 Parameter Estimation of Real-Time NCS Signal Acquired Using Designed Neurostimulator to Develop Microcontroller-Based Healthcare Support System

26. Chapter 16 Critical Analysis of Current Healthcare Applications for Diagnosis of Diseases: Pitfalls and Future

27. Chapter 17 Machine Learning-Based Decision Support System for Optimal Treatment of Acute Inflammation Response with Specific Patient Conditions

28. Chapter 18 Digital Histopathology: Paving Future Directions Towards Predicting Diagnosis of Disease Via Image Analysis

29. Chapter 19 Artificial Intelligence Techniques to Design Epitope-Mapped Vaccines and Diagnostics for Emerging Pathogens

30. Chapter 20 DN-Based DTI Model to Identify Potential Drug Molecules Against COVID-19

31. Chapter 21 Deep Learning-Based Chatbots for Patient Queries

32. Chapter 22 Autism, ADHD and Dyslexia Disorder Comorbidity: An Enhanced Study on Education for Children through Artificial Intelligence-Enabled Personalized Assistive Tools

33. Index