Unboxing Deep Learning Model of Food Delivery Service Reviews Using Explainable Artificial Intelligence (XAI) Technique. [PDF]
Foods, 2022 Adak A, Pradhan B, Shukla N, Alamri A.
europepmc +1 more source
Cross‐Method Explanation Stability Under Prediction‐Preserving Perturbations in Explainable AI
Applied AI Letters, Volume 7, Issue 2, June 2026.The cross‐method analysis showed common vulnerability patterns across gradient‐based and perturbation‐based explainers, whereas Grad‐CAM demonstrated a specific ability to be resilient. Further discussion revealed that, before prediction changes with increasing ε, explanation divergence could already have commenced, indicating that further explanation ...
Muhammad Hasnain +4 more
wiley +1 more source
Environmental education as a means of combating growing environmental pollution: an optimized- explainable artificial intelligence (XAI) approach. [PDF]
Sci RepHamad OAM, Baysen E, Usman AG.
europepmc +1 more source
Taming the chaos?! Using eXplainable Artificial Intelligence (XAI) to tackle the complexity in mental health research. [PDF]
Eur Child Adolesc Psychiatry, 2021 Roessner V +5 more
europepmc +1 more source
Stacked Ensemble Model With Explainable AI for Early Detection of Heart Disease
Analytical Science Advances, Volume 7, Issue 1, June 2026.ABSTRACT Heart disease (HD) is still one of the most common causes of death around the world. Early detection is very important, but it is often hard to do because the symptoms are not specific and the models are not very clear. We propose a two‐layer stacked ensemble that combines four base learners—Support Vector Machine, K‐Nearest Neighbors, Naïve ...
Nazmun Nahar +8 more
wiley +1 more source
The crucial role of explainable artificial intelligence (XAI) in improving health care management. [PDF]
Health Care Manag SciJohannssen A, Chukhrova N.
europepmc +1 more source
Explainable artificial intelligence (XAI): closing the gap between image analysis and navigation in complex invasive diagnostic procedures. [PDF]
World J Urol, 2022 O'Sullivan S +6 more
europepmc +1 more source
eFood, Volume 7, Issue 3, June 2026.This review synthesizes AI advancements in food systems, leveraging machine learning, computer vision, robotics, and IoT for 96%–100% accurate quality inspection, 30% reduced downtime, and enhanced traceability from farm to fork. It highlights transformative potential in sustainability and SDGs while addressing data, ethical, and scalability challenges
Muhammad Waqar +9 more
wiley +1 more source
Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.The graphical abstract highlights the three key aspects addressed in this review: the technical background of medical text summarization methods relevant to clinical decision support; the LLM background in providing context for its diagnosis and clinical significance; and clinical decision support with summarization and explainability in patient care ...
Aleka Melese Ayalew +3 more
wiley +1 more source
Recommender Systems: Taxonomy, Applications and Current Research Trends
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.Integrating taxonomy, application developments, open‐source software, and publication trends, this paper identifies and outlines promising future directions for recommender systems research. ABSTRACT Recommender Systems play an essential role in assisting users to navigate the immense amount of information and services available online, aiding them in ...
Daniel Ranchal‐Parrado +2 more
wiley +1 more source