Intelligent Interactive Multimedia Systems for e-Healthcare Applications: A Comprehensive Guide

Authored by Shaveta Malik, this book delves into the fusion of interactive multimedia with artificial intelligence, creating advanced tools in healthcare. It explores how technologies like AI, deep learning, machine learning, big data, IoT, and smart devices help manage health data, diagnose health issues, monitor treatment, predict pandemic diseases, and more.

Applications of Multimedia in Healthcare

The book covers several important applications of multimedia in healthcare, including:

• Data visualization purposes
• Computer vision for elder healthcare monitoring
• Detection of lung nodules
• Management systems using machine learning techniques
• Fusion applications in medical image processing

AI and Machine Learning in Healthcare

The chapter authors discuss using data mining and machine learning techniques for:

• COVID-19 diagnosis and prediction
• Detecting knee osteoarthritis using texture descriptor algorithms
• Applying algorithms in fetal ECG enhancement
• Blockchain for wearable internet of things in healthcare

Genomics and Genetic Data in Healthcare

A chapter reviews how doctors can make good use of genomics and genetic data through advanced technology.

Future Directions and Challenges

The book concludes with discussions of open issues, challenges, and future research directions for using intelligent interactive multimedia in healthcare.

Key Features:

• Provides an in-depth understanding of emerging technologies and integration of artificial intelligence, deep learning, big data, IoT in healthcare
• Details specific applications for the use of AI, big data, and IoT in healthcare
• Discusses how AI technology can help in formulating protective measures for COVID-19 and other diseases
• Includes case studies

Target Audience:

This book will be valuable to undergraduate and graduate students planning their careers in either industry or research and to software engineers for using multimedia with artificial intelligence, deep learning, big data, and IoT for healthcare applications.