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 …
Explainable artificial intelligence: a comprehensive review
Thanks to the exponential growth in computing power and vast amounts of data, artificial
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …
Explaining deep neural networks and beyond: A review of methods and applications
With the broader and highly successful usage of machine learning (ML) in industry and the
sciences, there has been a growing demand for explainable artificial intelligence (XAI) …
sciences, there has been a growing demand for explainable artificial intelligence (XAI) …
Interpretability of machine learning‐based prediction models in healthcare
There is a need of ensuring that learning (ML) models are interpretable. Higher
interpretability of the model means easier comprehension and explanation of future …
interpretability of the model means easier comprehension and explanation of future …
XAI—Explainable artificial intelligence
XAI—Explainable artificial intelligence | Science Robotics news careers commentary
Journals Science Science brought to you byGoogle Indexer Log in science science …
Journals Science Science brought to you byGoogle Indexer Log in science science …
An engineer's guide to eXplainable Artificial Intelligence and Interpretable Machine Learning: Navigating causality, forced goodness, and the false perception of …
MZ Naser - Automation in Construction, 2021 - Elsevier
While artificial intelligence (AI), and by extension machine learning (ML), continues to be
adopted in parallel engineering disciplines, the integration of AI/ML into the structural …
adopted in parallel engineering disciplines, the integration of AI/ML into the structural …
Learning and evaluating graph neural network explanations based on counterfactual and factual reasoning
Structural data well exists in Web applications, such as social networks in social media,
citation networks in academic websites, and threads data in online forums. Due to the …
citation networks in academic websites, and threads data in online forums. Due to the …
A review of explainable and interpretable AI with applications in COVID‐19 imaging
The development of medical imaging artificial intelligence (AI) systems for evaluating COVID‐
19 patients has demonstrated potential for improving clinical decision making and assessing …
19 patients has demonstrated potential for improving clinical decision making and assessing …
Artificial intelligence to identify genetic alterations in conventional histopathology
Precision oncology relies on the identification of targetable molecular alterations in tumor
tissues. In many tumor types, a limited set of molecular tests is currently part of standard …
tissues. In many tumor types, a limited set of molecular tests is currently part of standard …
Advancing theoretical understanding and practical performance of signal processing for nonlinear optical communications through machine learning
In long-haul optical communication systems, compensating nonlinear effects through digital
signal processing (DSP) is difficult due to intractable interactions between Kerr nonlinearity …
signal processing (DSP) is difficult due to intractable interactions between Kerr nonlinearity …