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Explainable AI for healthcare 5.0: opportunities and challenges
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 …
expands the operational boundaries of Healthcare 4.0 and leverages patient-centric digital …
A review of explainable artificial intelligence in supply chain management using neurosymbolic approaches
Artificial Intelligence (AI) has emerged as a complementary technology in supply chain
research. However, the majority of AI approaches explored in this context afford little to no …
research. However, the majority of AI approaches explored in this context afford little to no …
[HTML][HTML] A hybrid multi-criteria decision-making and machine learning approach for explainable supplier selection
Supplier selection has become increasingly complex regarding selection criteria caused by
expanded data collection processes and supplier numbers due to globalisation effects. This …
expanded data collection processes and supplier numbers due to globalisation effects. This …
Ensemble approach of transfer learning and vision transformer leveraging explainable AI for disease diagnosis: An advancement towards smart healthcare 5.0
Smart healthcare has advanced the medical industry with the integration of data-driven
approaches. Artificial intelligence and machine learning provided remarkable progress, but …
approaches. Artificial intelligence and machine learning provided remarkable progress, but …
[HTML][HTML] Recent applications of Explainable AI (XAI): A systematic literature review
This systematic literature review employs the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …
[PDF][PDF] Advances in machine learning and explainable artificial intelligence for depression prediction
H Byeon - International Journal of Advanced Computer Science …, 2023 - researchgate.net
There is a growing interest in applying AI technology in the field of mental health, particularly
as an alternative to complement the limitations of human analysis, judgment, and …
as an alternative to complement the limitations of human analysis, judgment, and …
[PDF][PDF] USING MCDM METHODS TO OPTIMISE MACHINE LEARNING DECISIONS FOR SUPPLY CHAIN DELAY PREDICTION: A STAKEHOLDER-CENTRIC …
Background: This study addresses challenges faced by supply chain stakeholders who lack
expert knowledge in making decisions related to Machine Learning. It introduces a novel …
expert knowledge in making decisions related to Machine Learning. It introduces a novel …
[책][B] Impact of Artificial Intelligence in business and society: Opportunities and challenges
Belonging to the realm of intelligent technologies, it is increasingly accepted that AI has
evolved from being merely a development standpoint in computer science. Indeed, recent …
evolved from being merely a development standpoint in computer science. Indeed, recent …
Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions
While the increased use of AI in the manufacturing sector has been widely noted, there is
little understanding on the risks that it may raise in a manufacturing organisation. Although …
little understanding on the risks that it may raise in a manufacturing organisation. Although …
Explainable artificial intelligence for mental disorder screening: A computational design science approach
Mental disorders affect nearly one billion people globally, 94% of whom are undiagnosed
and untreated due to an acute shortage of trained clinicians. In response to this crisis, this …
and untreated due to an acute shortage of trained clinicians. In response to this crisis, this …