[HTML][HTML] Privacy-preserving artificial intelligence in healthcare: Techniques and applications
There has been an increasing interest in translating artificial intelligence (AI) research into
clinically-validated applications to improve the performance, capacity, and efficacy of …
clinically-validated applications to improve the performance, capacity, and efficacy of …
[HTML][HTML] Deep neural networks in the cloud: Review, applications, challenges and research directions
Deep neural networks (DNNs) are currently being deployed as machine learning technology
in a wide range of important real-world applications. DNNs consist of a huge number of …
in a wide range of important real-world applications. DNNs consist of a huge number of …
Review on security of federated learning and its application in healthcare
Artificial intelligence (AI) has led to a high rate of development in healthcare, and good
progress has been made on many complex medical problems. However, there is a lack of …
progress has been made on many complex medical problems. However, there is a lack of …
A novel enhanced hybrid clinical decision support system for accurate breast cancer prediction
Feature selection is one of the crucial data preprocessing techniques for improving the
performance of machine learning (ML) models. Recently, metaheuristic feature selection …
performance of machine learning (ML) models. Recently, metaheuristic feature selection …
Fedcure: A heterogeneity-aware personalized federated learning framework for intelligent healthcare applications in iomt environments
The advent of the Internet of Medical Things (IoMT) devices has led to a healthcare
revolution, introducing a new era of smart applications driven by Artificial Intelligence (AI) …
revolution, introducing a new era of smart applications driven by Artificial Intelligence (AI) …
Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review
The fusion of blockchain and artificial intelligence (AI) marks a paradigm shift in healthcare,
addressing critical challenges in securing electronic health records (EHRs), ensuring data …
addressing critical challenges in securing electronic health records (EHRs), ensuring data …
[HTML][HTML] HealthDote: A blockchain-based model for continuous health monitoring using interplanetary file system
The Healthcare industry demands increased privacy and security to protect confidential
patient information and comply with regulations. Both these features can be incorporated …
patient information and comply with regulations. Both these features can be incorporated …
Digital twin and federated learning enabled cyberthreat detection system for IoT networks
The widespread deployment of Internet of Things (IoT) devices across various smart city
applications presents significant security challenges, increased by the rapidly evolving …
applications presents significant security challenges, increased by the rapidly evolving …
A novel deep wavelet convolutional neural network for actual ecg signal denoising
Recently, more than 80% of sudden cardiac death is caused by arrhythmia, whose
incidence has increased rapidly. In the actual wearable device acquisition process, ECG …
incidence has increased rapidly. In the actual wearable device acquisition process, ECG …
[HTML][HTML] Enhancing Internet of Medical Things security with artificial intelligence: A comprehensive review
Over the past five years, interest in the literature regarding the security of the Internet of
Medical Things (IoMT) has increased. Due to the enhanced interconnectedness of IoMT …
Medical Things (IoMT) has increased. Due to the enhanced interconnectedness of IoMT …