Results 211 to 220 of about 55,142 (282)

AI‐Enabled Imaging for Pathogen Detection Under Stress Conditions: A Systematic Review

open access: yesComprehensive Reviews in Food Science and Food Safety, Volume 25, Issue 3, May 2026.
ABSTRACT Advances in pathogen detection that incorporate artificial intelligence (AI) may capture microbial signals under challenging environmental conditions that traditional methods miss. This systematic review evaluates the application, performance, and methodological characteristics of AI‐enabled imaging for pathogen detection, including its impact
MeiLi Papa   +3 more
wiley   +1 more source

Differential quadruple pattern: A new EEG signal classification framework. [PDF]

open access: yesIBRO Neurosci Rep
Ozgor B   +4 more
europepmc   +1 more source

Unveiling the factors of aesthetic preferences with explainable AI

open access: yesBritish 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

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

open access: yesBritish 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   +4 more
wiley   +1 more source

Explainable and reproducible AI: culturally responsive AI for health equity in minoritized groups. [PDF]

open access: yesFront Digit Health
King-Okoye M   +9 more
europepmc   +1 more source

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

open access: yesHepatology 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   +15 more
wiley   +1 more source

Overreliance on Orthographic Similarity in L2‐Japanese Conceptual Processing by L1‐Chinese Learners

open access: yesInternational Journal of Applied Linguistics, Volume 36, Issue 2, Page 1807-1820, May 2026.
ABSTRACT Orthographic and phonological similarities between first (L1) and second (L2) languages can facilitate L2 processing. Particularly, L1‐Chinese learners of L2‐Japanese can benefit from the shared morphosyllabic Chinese characters (Japanese kanji/Chinese hanzi) because of their similar orthographies.
Xuehan Zhao, Kexin Xiong, Sachiko Kiyama
wiley   +1 more source

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