Results 91 to 100 of about 23,034 (235)

Identification of kidney stones in KUB X-ray images using VGG16 empowered with explainable artificial intelligence

Scientific Reports
A kidney stone is a solid formation that can lead to kidney failure, severe pain, and reduced quality of life from urinary system blockages. While medical experts can interpret kidney-ureter-bladder (KUB) X-ray images, specific images pose challenges for
Fahad Ahmed, Sagheer Abbas, Atifa Athar, Tariq Shahzad, Wasim Ahmad Khan, Meshal Alharbi, Muhammad Adnan Khan, Arfan Ahmed   +7 more
doaj   +1 more source

Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation

Frontiers in Neuroscience, 2019
The use of Artificial Intelligence and machine learning in basic research and clinical neuroscience is increasing. AI methods enable the interpretation of large multimodal datasets that can provide unbiased insights into the fundamental principles of ...
Jean-Marc Fellous, Jean-Marc Fellous, Guillermo Sapiro, Andrew Rossi, Helen Mayberg, Michele Ferrante, Michele Ferrante   +6 more
doaj   +1 more source

How Important Is Corporate Social Responsibility for Corporate Financial Performance?: A Machine Learning Prediction and Model Interpretability Approach

Business Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT Corporate social responsibility (CSR) has become central to corporate strategy, yet its impact on corporate financial performance (CFP) remains debated. Existing literature, which often relies on conventional statistical methods, overlooks the complex, nonlinear interactions between CSR and CFP.
Ephraim Kwashie Thompson, Samuel Buertey, So‐Yeun Kim   +2 more
wiley   +1 more source

Unveiling the factors of aesthetic preferences with explainable AI

British Journal of Psychology, EarlyView.
Abstract The allure of aesthetic appeal in images captivates our senses, yet the underlying intricacies of aesthetic preferences remain elusive. In this study, we pioneer a novel perspective by utilizing several different machine learning (ML) models that focus on aesthetic attributes known to influence preferences.
Derya Soydaner, Johan Wagemans
wiley   +1 more source

AI Competency and Perception of XAI Importance Versus Attitude Toward AI: Mediating Effects of Belief in XAI Availability

Advances in Human-Computer Interaction
In this research, we hypothesize that attitudes toward artificial intelligence (AI) are shaped by individuals’ perceived competence in using and managing it, as well as their assessment of the importance of AI’s understandability and transparency, often ...
M. Liebherr, A. Babiker, S. AlShakhsi, D. Al-Thani, C. Montag, R. Ali   +5 more
doaj   +1 more source

Explanation strategies in humans versus current explainable artificial intelligence: Insights from image classification

British Journal of Psychology, EarlyView.
Abstract Explainable AI (XAI) methods provide explanations of AI models, but our understanding of how they compare with human explanations remains limited. Here, we examined human participants' attention strategies when classifying images and when explaining how they classified the images through eye‐tracking and compared their attention strategies ...
Ruoxi Qi, Yueyuan Zheng, Yi Yang, Caleb Chen Cao, Janet H. Hsiao   +4 more
wiley   +1 more source

Comparability between AI and human cognition and its role in psychological research and AI ethics

British Journal of Psychology, EarlyView.
Abstract With the advances in AI technology, comparison studies between humans and AI can not only enhance our understanding of information processing mechanisms underlying human cognition but also facilitate our understanding of AI systems' behaviour and interactions with humans.
Janet H. Hsiao
wiley   +1 more source

Multimodal machine learning for surgical decision support in epilepsy: Current evidence and translational gaps

Epilepsia, EarlyView.
Abstract Objective This systematic review synthesizes evidence on multimodal machine learning (ML) decision support systems for epilepsy surgery focusing on postsurgical outcome prediction, with emphasis on methodological quality and implications for clinical practice.
Mattia Mercier, Luca de Palma, Nicola Specchio   +2 more
wiley   +1 more source

Improving Tuberculosis Diagnosis using Explainable Artificial Intelligence in Medical Imaging

Journal of Mathematical Sciences and Modelling
The integration of artificial intelligence (AI) applications in the healthcare sector is ushering in a significant transformation, particularly in developing more effective strategies for early diagnosis and treatment of contagious diseases like ...
Cem Özkurt
doaj   +1 more source

Serious Gaming for Building a Basis of Certification via Trust and Trustworthiness of Autonomous Systems [PDF]

Autonomous systems governed by a variety of adaptive and nondeterministic algorithms are being planned for inclusion into safety-critical environments, such as unmanned aircraft and space systems in both civilian and military applications. However, until
Allen, B. Danette
core   +1 more source