The success of machine learning (ML) techniques in the formerly difficult areas of data
analysis and pattern extraction has led to their widespread incorporation into various …

The emergence of artificial intelligence (AI) has greatly propelled progress across various
sectors including the field of nephrology academia. However, this advancement has also …

Edge AI, an interdisciplinary technology that enables distributed intelligence with edge
devices, is quickly becoming a critical component in early health prediction. Edge AI …

Data Privacy has increasingly become a matter of concern in the era of large public digital
respositories of data. This is particularly true in healthcare where data can be misused if …

Abstract Machine learning and deep learning are subsets of Artificial Intelligence that have
revolutionized object detection and classification in images or videos. This technology plays …

As the world produces exabytes of data, there is a growing need to find new methods that
are more suitable for dealing with complex datasets. Artificial intelligence (AI) has significant …

Machine Learning (ML) and Deep Learning (DL) are derivatives of Artificial Intelligence (AI)
that have already demonstrated their effectiveness in a variety of domains, including …

The rapid advancement of artificial intelligence (AI) technologies, particularly machine
learning, has brought substantial progress to the field of nephrology, enabling significant …

The main objective of this paper is to highlight the research directions and explain the main
roles of current Artificial Intelligence (AI)/Machine Learning (ML) frameworks and available …

Data privacy has become a major concern in healthcare due to the increasing digitization of
medical records and data-driven medical research. Protecting sensitive patient information …