Emerging Computational Approaches in Telehealth and Telemedicine: A Look at The Post-COVID-19 Landscape

This book gives an overview of innovative approaches in telehealth and telemedicine. The Goal of the content is to inform readers about recent computer applications in e-health, including Internet of Things (IoT) and Internet of Medical Things (IoMT) technology. The 9 chapters will guide readers to determine the urgency to intervene in specific medical cases, and to assess risk to healthcare workers. The focus on telehealth along with telemedicine, encompasses a broader spectrum of remote healthcare services for the reader to understand.

Chapters cover the following topics:

- A COVID-19 care system for virus precaution, prevention, and treatment

- The Internet of Things (IoT) in Telemedicine,

- Artificial Intelligence for Remote Patient Monitoring systems

- Machine Learning in Telemedicine

- Convolutional Neural Networks for the detection and prediction of melanoma in skin lesions

- COVID-19 virus contact tracing via mobile apps

- IoT and Cloud convergence in healthcare

- Lung cancer classification and detection using deep learning

- Telemedicine in India

This book will assist students, academics, and medical professionals in learning about cutting-edge telemedicine technologies. It will also inform beginner researchers in medicine about upcoming trends, problems, and future research paths in telehealth and telemedicine for infectious disease control and cancer diagnosis.