Results 151 to 160 of about 2,085,409 (278)
Improving Tuberculosis Diagnosis using Explainable Artificial Intelligence in Medical Imaging
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
This research aims to enhance confidence in using AI/ML models and address unpredicted defects occurred during injection molding (IM) through guided machine fine‐tuning. Integrated stability analysis and parallel coordinate visualization coupled with perturbation analysis are presented to augment domain‐specific XAI applications in the IM industry ...
Chung‐Yin Lin +6 more
wiley +1 more source
Digital transformation creates new opportunities for zakat management through Artificial Intelligence (AI), Big Data, machine learning, and Explainable Artificial Intelligence (XAI).
Rahmini Hadi
doaj +1 more source
Overview of multimodal artificial intelligence (AI) for precision therapeutics. Diverse biomedical data modalities, including multi‐omics, medical imaging, digital pathology, electronic health records, wearable‐device data, and molecular information, are integrated through multimodal AI frameworks incorporating fusion strategies, foundation models ...
Gedion Mengistu Dejen
wiley +1 more source
Researchers have developed a variety of approaches to evaluate explainable artificial intelligence (XAI) systems using human–computer interaction (HCI) user‐centered techniques. This systematic literature review has been conducted to understand how these
Noor Al-Ansari +2 more
semanticscholar +1 more source
ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi +3 more
wiley +1 more source
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella +4 more
wiley +1 more source
XAI-Based Clinical Decision Support Systems: A Systematic Review
With increasing electronic medical data and the development of artificial intelligence, clinical decision support systems (CDSSs) assist clinicians in diagnosis and prescription.
Se Young Kim +4 more
doaj +1 more source
AI‐Driven Circular Construction Waste Management for Advancing Sustainable Development
ABSTRACT Construction and demolition waste (C&DW) represents up to 40% of global solid waste, posing a significant barrier to achieving circular economy (CE) objectives and the Sustainable Development Goals (SDGs), particularly SDG 11 and SDG 12. However, construction waste management (CWM) systems remain constrained by fragmented data environments ...
Mohamed T. Elnabwy, Pablo Martinez
wiley +1 more source
ABSTRACT This study aims to estimate life expectancy in upper‐middle‐income countries using socio‐economic and health‐related variables obtained from the World Bank's World Development Indicators database. To this end, four machine learning algorithms—Support Vector Regression (SVR), Random Forest, Gradient Boosting, and XGBoost—were applied; the ...
Esra Süzen, Mehmet Kayakuş
wiley +1 more source

