Special Issue on AI-Enabled Wireless Bio-Medical Sensor Networks for Personalized Medical and Healthcare Applications

Closes 20 August, 2024

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Journal: Recent Patents on Engineering
Guest editor(s):Dr. Prabhishek Singh
Co-Guest Editor(s): Dr. Manoj Diwakar


Wireless bio-medical sensor networks (WbMSN) are a potential use of wireless sensor networks in healthcare since they allow for remote patient monitoring. Current directions in WbMSN healthcare research include a focus on topics such as patient mobility, energy-efficient routing, and reliable communication between patients. However, the introduction of AI-enabled technologies such as machine learning and deep learning has led to a revolution in personalised medical and healthcare applications. If a patient has a potentially humiliating illness, security in personalised medical and healthcare applications is of the utmost importance. Medical monitoring, home appliance control, access to personalised healthcare-related data, emergency communication, etc. are only some of the healthcare services that WbMSN supports for patients. Wearable and AI-enabled monitoring devices will aid in the early identification of emergency situations and illnesses in people at high risk. Additionally, such tools provide a vast array of healthcare services for people with varying degrees of cognitive impairment in addition to physical limitations. WbMSN is regarded as a critical technology for enabling the development of new applications and services because it is aimed at patient monitoring, namely data collection for medical diagnosis and continuous clinical evaluation. As the need for medical technology continues to rise, this special issue will explore new methods for developing flexible biomedical sensors, circuits, and systems to meet these needs. It also aims to give a thorough evaluation of cutting-edge systems using novel sensing techniques that are expected to play a significant role in the widespread adoption of medical applications. Wireless sensor networks for biomedical and clinical evaluation are the focus of this special issue, which attempts to compile high-quality research achievements in the field. The goal is to provide a new perspective on how to develop robust and durable smart AI-enabled sensing techniques, as well as how to extract useful information from the raw data collected by ubiquitous sensor networks.All manuscripts detailing fresh research and all reviews of new trends are welcome for this special issue. Topics may include, but are not limited to: • AI-enabled flexible wireless sensors • Flexible, novel sensors for medical applications • Tools for patient care that may be worn or implanted • COVID-19-related adaptable sensor applications • AI-enabled Medical Imaging • AI-powered safe healthcare applications • Healthcare biosensors • Assumptions of mental illness • Smart health and sensing provide security and privacy challenges. • Consequences for health-system forensics from the use of smart sensors • AI-enabled multi-model medical image fusion • Biomedical data processing and diagnosis using deep learning • Analysis of large datasets using methods such as machine learning and statistics • Medical image analysis using WbMSN


Medical applications, Healthcare applications, WSN, Medical imaging, Artificial Intelligence

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