[HTML][HTML] Overview of explainable artificial intelligence for prognostic and health management of industrial assets based on preferred reporting items for systematic …

AKM Nor, SR Pedapati, M Muhammad, V Leiva - Sensors, 2021 - mdpi.com
Surveys on explainable artificial intelligence (XAI) are related to biology, clinical trials,
fintech management, medicine, neurorobotics, and psychology, among others. Prognostics …

[HTML][HTML] Abnormality detection and failure prediction using explainable Bayesian deep learning: Methodology and case study with industrial data

AKM Nor, SR Pedapati, M Muhammad, V Leiva - Mathematics, 2022 - mdpi.com
Mistrust, amplified by numerous artificial intelligence (AI) related incidents, is an issue that
has caused the energy and industrial sectors to be amongst the slowest adopter of AI …

A review on explainable artificial intelligence for healthcare: why, how, and when?

S Bharati, MRH Mondal… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) models are increasingly finding applications in the field of
medicine. Concerns have been raised about the explainability of the decisions that are …

Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey

W Ding, M Abdel-Basset, H Hawash, AM Ali - Information Sciences, 2022 - Elsevier
The continuous advancement of Artificial Intelligence (AI) has been revolutionizing the
strategy of decision-making in different life domains. Regardless of this achievement, AI …

A methodological and theoretical framework for implementing explainable artificial intelligence (XAI) in business applications

D Tchuente, J Lonlac, B Kamsu-Foguem - Computers in Industry, 2024 - Elsevier
Artificial Intelligence (AI) is becoming fundamental in almost all activity sectors in our society.
However, most of the modern AI techniques (eg, Machine Learning–ML) have a black box …

A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines

KTP Nguyen, K Medjaher, DT Tran - Artificial Intelligence Review, 2023 - Springer
The past decade has witnessed the adoption of artificial intelligence (AI) in various
applications. It is of no exception in the area of prognostics and health management (PHM) …

Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)

HW Loh, CP Ooi, S Seoni, PD Barua, F Molinari… - Computer Methods and …, 2022 - Elsevier
Background and objectives Artificial intelligence (AI) has branched out to various
applications in healthcare, such as health services management, predictive medicine …

[HTML][HTML] Prognostics and health management of industrial assets: Current progress and road ahead

L Biggio, I Kastanis - Frontiers in Artificial Intelligence, 2020 - frontiersin.org
Prognostic and Health Management (PHM) systems are some of the main protagonists of
the Industry 4.0 revolution. Efficiently detecting whether an industrial component has …

Explainable artificial intelligence in the medical domain: a systematic review

S Chakrobartty, O El-Gayar - 2021 - scholar.dsu.edu
Abstract The applications of Artificial Intelligence (AI) and Machine Learning (ML)
techniques in different medical fields is rapidly growing. AI holds great promise in terms of …

A brief review of explainable artificial intelligence in healthcare

Z Sadeghi, R Alizadehsani, MA Cifci, S Kausar… - arXiv preprint arXiv …, 2023 - arxiv.org
XAI refers to the techniques and methods for building AI applications which assist end users
to interpret output and predictions of AI models. Black box AI applications in high-stakes …