Results 191 to 200 of about 25,088 (256)

Explainable artificial intelligence (xAI) in neuromarketing/consumer neuroscience: an fMRI study on brand perception. [PDF]

Front Hum Neurosci
Marques Dos Santos JP, Marques Dos Santos JD.   +1 more
europepmc   +1 more source

Predicting skin cancer risk from facial images with an explainable artificial intelligence (XAI) based approach: a proof-of-concept study

, 2023
Liu X, Sangers T, Nijsten T, Kayser M, Pardo L, Wolvius E, Roshchupkin G, Wakkee M.   +7 more
europepmc   +1 more source

Unveiling the factors of aesthetic preferences with explainable AI

British Journal of Psychology, Volume 117, Issue 2, Page 444-478, May 2026.
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

Pathogenicity Prediction of Gene Fusion in Structural Variations: A Knowledge Graph-Infused Explainable Artificial Intelligence (XAI) Framework. [PDF]

Cancers (Basel)
Murakami K, Tago SI, Takishita S, Morikawa H, Kojima R, Yokoyama K, Ogawa M, Fukushima H, Takamori H, Nannya Y, Imoto S, Fuji M.   +11 more
europepmc   +1 more source

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

British Journal of Psychology, Volume 117, Issue 2, Page 479-502, May 2026.
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

Enhancing COVID-19 Diagnosis Accuracy and Transparency with eXplainable Artificial Intelligence (XAI) Techniques

, 2023
Malik S, Aggarwal T.
europepmc   +1 more source

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

British Journal of Psychology, Volume 117, Issue 2, Page 785-789, May 2026.
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

Machine Learning Approach Enables Highly Accurate Identification of At‐Risk Metabolic Dysfunction‐Associated Steatohepatitis

Hepatology Research, Volume 56, Issue 5, Page 753-761, May 2026.
ABSTRACT Aim At‐risk metabolic dysfunction‐associated steatohepatitis (MASH), characterized by significant activity and fibrosis, increases the risk of liver complications. Liver stiffness measurement (LSM), commonly used to detect significant fibrosis, has limitations in terms of accessibility and performance in certain populations.
Masaya Sato, Takuma Nakatsuka, Tatsuya Minami, Yotaro Kudo, Rie Irie, Hanako Tsujikawa, Takumi Kawaguchi, Hirokazu Takahashi, Yuichiro Eguchi, Eisuke Murakami, Kazuaki Chayama, Takeshi Okanoue, Michiie Sakamoto, Mitsuhiro Fujishiro, Kazuhiko Koike, Ryosuke Tateishi   +15 more
wiley   +1 more source

The application of explainable artificial intelligence (XAI) in electronic health record research: A scoping review. [PDF]

Digit Health
Caterson J, Lewin A, Williamson E.
europepmc   +1 more source

Modeling and generating user‐centered contrastive explanations for the workforce scheduling and routing problem

International Transactions in Operational Research, Volume 33, Issue 3, Page 1525-1558, May 2026.
Abstract In the last decade, explainability has been attracting much attention in the machine learning community. However, this research topic extends beyond this field to encompass others such as operations research and combinatorial optimization (CO).
Mathieu Lerouge, Céline Gicquel, Vincent Mousseau, Wassila Ouerdane   +3 more
wiley   +1 more source