Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
Background and objectives Artificial intelligence (AI) has branched out to various
applications in healthcare, such as health services management, predictive medicine …
applications in healthcare, such as health services management, predictive medicine …
Applications of explainable artificial intelligence in diagnosis and surgery
In recent years, artificial intelligence (AI) has shown great promise in medicine. However,
explainability issues make AI applications in clinical usages difficult. Some research has …
explainability issues make AI applications in clinical usages difficult. Some research has …
Explainable artificial intelligence in information systems: A review of the status quo and future research directions
The quest to open black box artificial intelligence (AI) systems evolved into an emerging
phenomenon of global interest for academia, business, and society and brought about the …
phenomenon of global interest for academia, business, and society and brought about the …
[HTML][HTML] Private blockchain-based encryption framework using computational intelligence approach
Electronic Health monitoring system has performed an essential role in managing
healthcare monitoring. E-health can provide effective and valuable facilities for the patients …
healthcare monitoring. E-health can provide effective and valuable facilities for the patients …
Survey on explainable AI: From approaches, limitations and applications aspects
In recent years, artificial intelligence (AI) technology has been used in most if not all domains
and has greatly benefited our lives. While AI can accurately extract critical features and …
and has greatly benefited our lives. While AI can accurately extract critical features and …
Advances and applications of computer vision techniques in vehicle trajectory generation and surrogate traffic safety indicators
Abstract The application of Computer Vision (CV) techniques massively stimulates
microscopic traffic safety analysis from the perspective of traffic conflicts and near misses …
microscopic traffic safety analysis from the perspective of traffic conflicts and near misses …
RLDS: An explainable residual learning diagnosis system for fetal congenital heart disease
Fetal congenital heart disease (CHD) is a prevalent and highly complicated fetal deformity.
Furthermore, the number of infants with CHD accounts for as high as 6‰–8‰ among all the …
Furthermore, the number of infants with CHD accounts for as high as 6‰–8‰ among all the …
Focal stack image compression based on basis-quadtree representation
In this paper, we propose an efficient compression scheme for focal stack images (FoSIs)
based on a new basis-quadtree representation. In the new basis-quadtree representation …
based on a new basis-quadtree representation. In the new basis-quadtree representation …
Automated segmentation of prohibited items in x-ray baggage images using dense de-overlap attention snake
Prohibited item segmentation has a wide range of applications in the security check field,
such as computer-aided screening, threat image projection and material discrimination …
such as computer-aided screening, threat image projection and material discrimination …
One-shot learning for acoustic diagnosis of industrial machines
S Ntalampiras - Expert Systems with Applications, 2021 - Elsevier
Automatic acoustic monitoring of machine health comprises a relevant field as,
unfortunately, such equipment often suffers from faults, malfunctions, aging effects, etc …
unfortunately, such equipment often suffers from faults, malfunctions, aging effects, etc …