A comprehensive survey on multimodal medical signals fusion for smart healthcare systems
Smart healthcare is a framework that utilizes technologies such as wearable devices, the
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …
[HTML][HTML] Machine learning for healthcare wearable devices: the big picture
Using artificial intelligence and machine learning techniques in healthcare applications has
been actively researched over the last few years. It holds promising opportunities as it is …
been actively researched over the last few years. It holds promising opportunities as it is …
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review
Brain diseases, including tumors and mental and neurological disorders, seriously threaten
the health and well-being of millions of people worldwide. Structural and functional …
the health and well-being of millions of people worldwide. Structural and functional …
[HTML][HTML] Internet of Medical Things (IoMT)-based smart healthcare system: Trends and progress
Internet of Medical Thing (IoMT) is the most emerging era of the Internet of Thing (IoT), which
is exponentially gaining researchers' attention with every passing day because of its wide …
is exponentially gaining researchers' attention with every passing day because of its wide …
Task offloading for wireless VR-enabled medical treatment with blockchain security using collective reinforcement learning
Wireless virtual reality (VR)-enabled medical treatment (WVMT) system, integrating the VR
technology and the platform of the Internet of Medical Things (IoMT), is a promising …
technology and the platform of the Internet of Medical Things (IoMT), is a promising …
[HTML][HTML] Concatenation of pre-trained convolutional neural networks for enhanced covid-19 screening using transfer learning technique
Coronavirus (COVID-19) is the most prevalent coronavirus infection with respiratory
symptoms such as fever, cough, dyspnea, pneumonia, and weariness being typical in the …
symptoms such as fever, cough, dyspnea, pneumonia, and weariness being typical in the …
[HTML][HTML] Two-stage classification model for the prediction of heart disease using IoMT and artificial intelligence
Internet of Things (IoT) technology has recently been applied in healthcare systems as an
Internet of Medical Things (IoMT) to collect sensor information for the diagnosis and …
Internet of Medical Things (IoMT) to collect sensor information for the diagnosis and …
Reliable Internet of Things: Challenges and future trends
The Internet of Things (IoT) is a vital component of many future industries. By intelligent
integration of sensors, wireless communications, computing techniques, and data analytics …
integration of sensors, wireless communications, computing techniques, and data analytics …
[HTML][HTML] Computer vision in surgery: from potential to clinical value
Hundreds of millions of operations are performed worldwide each year, and the rising
uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become …
uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become …
The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things
S Aminizadeh, A Heidari, S Toumaj, M Darbandi… - Computer Methods and …, 2023 - Elsevier
Medical data processing has grown into a prominent topic in the latest decades with the
primary goal of maintaining patient data via new information technologies, including the …
primary goal of maintaining patient data via new information technologies, including the …