In the healthcare domain, a transformative shift is envisioned towards Healthcare 5.0. It
expands the operational boundaries of Healthcare 4.0 and leverages patient-centric digital …

Artificial neural networks (ANNs) ability to learn, correct errors, and transform a large amount
of raw data into beneficial medical decisions for treatment and care has increased in …

The healthcare sector is very interested in machine learning (ML) and artificial intelligence
(AI). Nevertheless, applying AI applications in scientific contexts is difficult due to …

We are witnessing a widespread adoption of artificial intelligence in healthcare. However,
most of the advancements in deep learning in this area consider only unimodal data …

The healthcare sector is very interested in machine learning (ML) and artificial intelligence
(AI). Nevertheless, applying AI applications in scientific contexts is difficult because of the …

We propose FedCovid, a new federated learning system based on electronic health records
(EHR), to predict COVID-19 vaccination side effects. Federated learning allows diverse data …

The COVID-19 pandemic has devastated the entire globe since its first appearance at the
end of 2019. Although vaccines are now in production, the number of contaminations …

Artificial intelligence (AI) studies are progressing at a breakneck pace, with prospective
programs in healthcare industries being established. In healthcare, there has been an …

Various Classification techniques have been developed in past years and applied on
genomic sequence for the dynamic modelling. These methods have resulted to impressive …

Due to huge investments by both the public and private sectors, artificial intelligence (AI) has
made tremendous progress in solving multiple real-world problems such as disease …