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 (Io T) and Internet of Medical Things (Io MT) 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 (Io T) 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
– Io T 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.
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