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What is Healthcare Applications

Revolutionizing Healthcare Through Artificial Intelligence and Internet of Things Applications
Application programs that offer health-related services.
Published in Chapter:
Security and Privacy in the Internet of Medical Things (IoMT)
Ravi Kiran (The ICFAI University, Raipur, India), Ashish Kumbhare (The ICFAI University, Raipur, India), Piyush Kumar Thakur (The ICFAI University, Raipur, India), and Shashank Mane (Shri Balaji Institute of Technology and Management, Betul, India)
DOI: 10.4018/978-1-6684-5422-0.ch001
Abstract
IoMT is primarily used to collect very sensitive individual health information; its security and privacy are critical in protecting the patient's life, which may otherwise have a negative impact on the patient's health and, in the worst-case scenario, result in death. This needs a thorough examination of available security and privacy measures in the IoMT space. Medical systems acquire, process, and make vital choices based on critical and sometimes life-threatening health information. Cybercriminals that target the weaknesses in these IoMT devices may be able to acquire unauthorized access to sensitive personal and medical records as well as gain access to the hospital network. Attacks on such linked devices can result in serious health injuries and even death for patients. Numerous threats, assaults, and vulnerabilities that might influence different levels in IoT-based healthcare applications have been studied. Wearable sensing devices were used in most IoT-based healthcare systems, making the applications layer the next highly susceptible layer.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
An In-Depth Exploration of AI and Humanoid Robotics' Role in Contemporary Healthcare
In healthcare, applications of technology include electronic health records, telemedicine, and medical imaging. Machine learning aids in disease diagnosis, treatment optimization, and drug discovery. Wearable devices and health monitoring apps enhance preventive care. These innovations improve patient outcomes, streamline processes, and contribute to the overall efficiency of healthcare delivery.
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The Pivotal Role of Edge Computing With Machine Learning and Its Impact on Healthcare
A good IoT framework should intelligently prioritize and use the network resources with the trusted and secure channel. This could be possible by effectively preprocessing the input data retrieved from the sensor nodes. This could be done by connecting the leaf devices with the cloud servers at the backend.
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