Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI [PDF]
Information Fusion, 2019 In the last years, Artificial Intelligence (AI) has achieved a notable momentum that may deliver the best of expectations over many application sectors across the field.
Alejandro Barredo Arrieta +11 more
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Explanation in Artificial Intelligence: Insights from the Social Sciences [PDF]
Artificial Intelligence, 2017 There has been a recent resurgence in the area of explainable artificial intelligence as researchers and practitioners seek to make their algorithms more understandable.
Tim Miller
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Structure of associative heterarchical memory
Российский технологический журнал, 2022 Objectives. Since the 20th century, artificial intelligence methods can be divided into two paradigms: top-down and bottom-up. While the methods of the ascending paradigm are difficult to interpret as natural language outputs, those applied according to ...
R. V. Dushkin +3 more
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Revolutionizing healthcare: the role of artificial intelligence in clinical practice
BMC Medical Education, 2023 Introduction Healthcare systems are complex and challenging for all stakeholders, but artificial intelligence (AI) has transformed various fields, including healthcare, with the potential to improve patient care and quality of life. Rapid AI advancements
Shuroug A. Alowais +12 more
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Foundation models for generalist medical artificial intelligence
Nature, 2023 The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI) models is likely to usher in newfound capabilities in medicine.
Michael Moor +6 more
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Risk stratification and pathway analysis based on graph neural network and interpretable algorithm
BMC Bioinformatics, 2022 Background Pathway-based analysis of transcriptomic data has shown greater stability and better performance than traditional gene-based analysis. Until now, some pathway-based deep learning models have been developed for bioinformatic analysis, but these
Bilin Liang, Haifan Gong, Lu Lu, Jie Xu
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Precision medicine and artificial intelligence : a pilot study on deep learning for hypoglycemic events detection based on ECG [PDF]
, 2020 Tracking the fluctuations in blood glucose levels is important for healthy subjects and crucial diabetic patients. Tight glucose monitoring reduces the risk of hypoglycemia, which can result in a series of complications, especially in diabetic patients ...
Pecchia, Leandro +3 more
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Artificial Intelligence Empowering Healthcare Services: Expert Consensus from the Mangrove Health Conference in 2025 [PDF]
Zhongguo quanke yixueArtificial intelligence (AI) demonstrates significant advantages in accelerating improvements in efficiency, accessibility, and precision of health services, thereby providing critical support for the implementation of a health-prioritized development ...
Expert Panel of the Consensus on Artificial Intelligence Empowering Healthcare Services
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Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence
Cognitive Computation, 2023 Recent years have seen a tremendous growth in Artificial Intelligence (AI)-based methodological development in a broad range of domains. In this rapidly evolving field, large number of methods are being reported using machine learning (ML) and Deep ...
Vikas Hassija +9 more
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International Journal of Educational Technology in Higher Education, 2019 According to various international reports, Artificial Intelligence in Education (AIEd) is one of the currently emerging fields in educational technology.
Olaf Zawacki-Richter +3 more
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