Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem

Cover
Half Title
Title Page
Copyright Page
Contents
Biography of Editors
List of Contributors
Preface
Acknowledgements
Chapter 1: Application of Computer Vision (CV) in the Healthcare Ecosystem
Chapter 2: Artificial Intelligence (AI)-Assisted Computer Vision (CV) in Healthcare Systems
Chapter 3: Computer Vision (CV)-based Machine Learning (ML) Models for the Healthcare System
Chapter 4: Computer Vision (CV)-Aided Medical Diagnosis for Cardiovascular Disease Detection
Chapter 5: Artificial Intelligence (AI)-Aided Diagnosis System to Objectively Measure Chronic Pain
Chapter 6: Artificial Intelligence (AI)-Enabled Technology in Medicine-Advancing Holistic Healthcare Monitoring and Control Systems
Chapter 7: Medical and Biomedical Signal Processing and Prediction Using the EEG Machine and Electroencephalography
Chapter 8: Artificial Intelligence (AI)-Aided Computer Vision (CV) in Healthcare System
Chapter 9: Artificial Intelligence (AI) Models for Disease Diagnosis and Prediction of Heart Disease with Artificial Neural Networks (ANN)
Chapter 10: Harnessing Deep Learning (DL) for Image Inpainting in Healthcare System-Methods and Challenges
Chapter 11: Skin Cancer Classification Using ConvNeXtLarge Architecture
Chapter 12: Brain Tumor Detection Using TensorFlow Framework
Chapter 13: Early Prediction of Sepsis with the Predictive Analysis Model Using 1.5 Million Records
Chapter 14: An Efficient FPGA Implementation of Approximate Multiply Accumulate Unit for Image and Video Processing Applications in Healthcare Sector
Chapter 15: Lung Cancer Prediction Using Convolutional Neural Network (CNN) with VGG16 Model
Chapter 16: Identifying Error and Bias in Chest Radiographic Images for COVID Detection Using Deep Learning Algorithms
Chapter 17: Forecast of Health Risk for Chronic Kidney Disease: A Comparison between Naïve Bayes (NB) and Support Vector Machine (SVM) Models
Chapter 18: The Performance of Feature Selection Approaches on Boosted Random Forest Algorithms for Predicting Cardiovascular Disease
Chapter 19: Application of Artificial Intelligence (AI) Technologies in Employing Chatbots to Access Mental Health
Chapter 20: Clinical Decision Support Systems in Smart Medical Ecosystem
Chapter 21: The Future of Edge Computing for Healthcare Ecosystem
Chapter 22: Privacy-Aware IoT-Based Multi-Disease Diagnosis Model for Healthcare System
Chapter 23: Using Big Data to Solve Problems in the Field of Medicine
Chapter 24: Automations and Robotics Improves Quality Healthcare in the Era of Digital Medical Laboratory
Index