Big Data and Cognitive ComputingArtificial intelligence (AI) encompasses the development of systems that perform tasks typically requiring human intelligence, such as reasoning and learning.
Sayda Umma Hamida +4 more
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What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research [PDF]
Artificial Intelligence, 2021 Previous research in Explainable Artificial Intelligence (XAI) suggests that a main aim of explainability approaches is to satisfy specific interests, goals, expectations, needs, and demands regarding artificial systems (we call these stakeholders ...
Holger Hermanns +2 more
exaly +2 more sources
A Comprehensive Review of Explainable Artificial Intelligence (XAI) in Computer Vision. [PDF]
Sensors (Basel)Explainable Artificial Intelligence (XAI) is increasingly important in computer vision, aiming to connect complex model outputs with human understanding.
Cheng Z, Wu Y, Li Y, Cai L, Ihnaini B.
europepmc +2 more sources
eXplainable Artificial Intelligence (XAI): A Systematic Review for Unveiling the Black Box Models and Their Relevance to Biomedical Imaging and Sensing. [PDF]
Sensors (Basel)Artificial Intelligence (AI) has achieved immense progress in recent years across a wide array of application domains, with biomedical imaging and sensing emerging as particularly impactful areas. However, the integration of AI in safety-critical fields,
Hettikankanamage N +5 more
europepmc +2 more sources
Demystifying the black box: A survey on explainable artificial intelligence (XAI) in bioinformatics. [PDF]
Comput Struct Biotechnol JThe widespread adoption of Artificial Intelligence (AI) and machine learning (ML) tools across various domains has showcased their remarkable capabilities and performance. Black-box AI models raise concerns about decision transparency and user confidence.
Budhkar A, Song Q, Su J, Zhang X.
europepmc +2 more sources
The crucial role of explainable artificial intelligence (XAI) in improving health care management. [PDF]
Health Care Manag SciThis current opinion explores the transformative potential of explainable artificial intelligence (XAI) for health care management systems. While AI has already demonstrated substantial benefits in clinical decision-making, operational efficiency and ...
Johannssen A, Chukhrova N.
europepmc +2 more sources
Explainable artificial intelligence (XAI) in radiology and nuclear medicine: a literature review. [PDF]
Front Med (Lausanne), 2023 Rational Deep learning (DL) has demonstrated a remarkable performance in diagnostic imaging for various diseases and modalities and therefore has a high potential to be used as a clinical tool.
de Vries BM +5 more
europepmc +2 more sources
Explainable Artificial Intelligence (XAI): Concepts and Challenges in Healthcare
AI, 2023 Artificial Intelligence (AI) describes computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.
Tim Hulsen
exaly +2 more sources
Can surgeons trust AI? Perspectives on machine learning in surgery and the importance of eXplainable Artificial Intelligence (XAI). [PDF]
Langenbecks Arch SurgThis brief report aims to summarize and discuss the methodologies of eXplainable Artificial Intelligence (XAI) and their potential applications in surgery. We briefly introduce explainability methods, including global and individual explanatory features,
Brandenburg JM +3 more
europepmc +2 more sources
An Intrusion Detection System over the IoT Data Streams Using eXplainable Artificial Intelligence (XAI). [PDF]
Sensors (Basel)The rise in intrusions on network and IoT systems has led to the development of artificial intelligence (AI) methodologies in intrusion detection systems (IDSs).
Alabbadi A, Bajaber F.
europepmc +2 more sources