Explainable artificial intelligence (XAI) for predicting the need for intubation in methanol-poisoned patients: a study comparing deep and machine learning models. [PDF]
Moulaei K +14 more
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Machine Learning-Based Interpretable Screening for Osteoporosis in Tuberculosis Spondylitis Patients Using Blood Test Data: Development and External Validation of a Novel Web-Based Risk Calculator with Explainable Artificial Intelligence (XAI). [PDF]
Yasin P, Ding L, Mamat M, Guo W, Song X.
europepmc +1 more source
Predicting skin cancer risk from facial images with an explainable artificial intelligence (XAI) based approach: a proof-of-concept study. [PDF]
Liu X +7 more
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Machine learning-enabled prediction of prolonged length of stay in hospital after surgery for tuberculosis spondylitis patients with unbalanced data: a novel approach using explainable artificial intelligence (XAI). [PDF]
Yasin P +6 more
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Research trends and ethical perspectives on explainable artificial intelligence in emergency medicine: a bibliometric analysis. [PDF]
Fındık M.
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Reflections on explainable artificial intelligence for predicting dengue outbreaks in Bangladesh. [PDF]
Rahman MS, Shiddik MAB.
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Correction: Kaur, N.; Gupta, L. Securing the 6G-IoT Environment: A Framework for Enhancing Transparency in Artificial Intelligence Decision-Making Through Explainable Artificial Intelligence. <i>Sensors</i> 2025, <i>25</i>, 854. [PDF]
Kaur N, Gupta L.
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Chaos-Enhanced, Optimization-Based Interpretable Classification Model and Performance Evaluation in Food Drying. [PDF]
Kaymak C +7 more
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