Metrics and Algorithms for Identifying and Mitigating Bias in AI Design: A Counterfactual Fairness Approach by Dongsoo Moon, Seongjin Ahn

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Rewriting the Narrative of AI Bias: A Data Feminist Critique of Algorithmic Inequalities in Healthcare by Pin Lean Lau

“…Additionally, the ‘othering’ of marginalised communities manifests in algorithmic exclusions or biases, where AI systems flag non-dominant populations as statistical anomalies rather than central subjects, reinforcing structural biases in healthcare access and treatment. …”
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Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer by Ayan Chatterjee, Michael A. Riegler, K. Ganesh, Pål Halvorsen

“…Artificial intelligence (AI) research aims to use HRV data for accurate stress level classification, aiding early detection and well-being approaches. …”
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The integration of psychological education and moral dilemmas from a value perspective by XiaoFen Jia, WenQing Wu

“…Subsequently, fundamental algorithms underpinning deep learning neural networks are introduced, illustrating their potential applications in studying the integration of psychological and moral values. …”
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Optimization Management of Storage Location in Stereoscopic Warehouse by Integrating Genetic Algorithm and Particle Swarm Optimization Algorithm by Shuhong Zhang, Xianghui Zheng, Fan Xu, Suzhen Wang, Qixia Zhang, Yuan Cao

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Prediction of super-large diameter shield attitude based on LSTM-Transformer by Linfabao Dai, Wenming Chen, Mingqing Xiao, Wenhao Sun, Zhengzheng Wang

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Ethical Challenges and Opportunities of AI in End-of-Life Palliative Care: Integrative Review by Abel García Abejas, David Geraldes Santos, Fabio Leite Costa, Aida Cordero Botejara, Helder Mota-Filipe, Àngels Salvador Vergés

“… BackgroundArtificial intelligence (AI) is increasingly integrated into palliative medicine, offering opportunities to improve quality, efficiency, and patient-centeredness in end-of-life care. …”
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Integrated AI System for Real-Time Sports Broadcasting: Player Behavior, Game Event Recognition, and Generative AI Commentary in Basketball Games by Sunghoon Jung, Hanmoe Kim, Hyunseo Park, Ahyoung Choi

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OPTIMIZING THE CONTROL OF SPATIAL MECHANISMS USING GENETIC ALGORITHMS AND ANT COLONY by Ápostolos Tsagaris, Gabriel Mansour

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Machine heuristic in algorithm aversion: Perceived creativity and effort of output created by or with artificial intelligence by Sigurd Birk Heimstad, Anders Hauge Wien, Tarje Gaustad

“…These results expand algorithm aversion theory by establishing MH as an important boundary condition and highlighting human-AI collaboration as an effective mitigation approach, offering valuable insights for creative industries integrating AI while maintaining positive perceptions among users.…”
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BIM and AI Integration for Dynamic Schedule Management: A Practical Framework and Case Study by Heap-Yih Chong, Xinyi Yang, Cheng Siew Goh, Yan Luo

“…This study addresses this challenge by proposing a dynamic optimization framework that integrates Building Information Modeling (BIM) and Artificial Intelligence (AI) to enhance schedule management. …”
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An innovative complex-valued encoding black-winged kite algorithm for global optimization by Chengtao Du, Jinzhong Zhang, Jie Fang

“…Abstract The black-winged kite algorithm (BKA) constructed on the black-winged kites’ migratory and predatory instincts is a revolutionary swarm intelligence method that integrates the Leader tactic with the Cauchy variation procedure to retrieve the expansive appropriate convergence solution. …”
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Explainable AI: Efficiency Sequential Shapley Updating Approach by Ovanes Petrosian, Jinying Zou

“…Shapley value-based explainable AI has recently attracted significant interest. …”
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Artificial intelligence in hospital infection prevention: an integrative review by Rabie Adel El Arab, Zainab Almoosa, May Alkhunaizi, May Alkhunaizi, Fuad H. Abuadas, Joel Somerville, Joel Somerville

“…Artificial intelligence (AI) offers promising potential for improving HAIs prevention through advanced predictive capabilities.ObjectiveTo evaluate the effectiveness, usability, and challenges of AI models in preventing, detecting, and managing HAIs.MethodsThis integrative review synthesized findings from 42 studies, guided by the SPIDER framework for inclusion criteria. …”
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XGBoost Algorithm for Cervical Cancer Risk Prediction: Multi-dimensional Feature Analysis by Sudi Suryadi, Masrizal

“…Future research directions include prospective validation across diverse populations, integration of longitudinal data, and further exploration of explainable AI techniques to bridge the gap between algorithmic predictions and clinical implementation.…”
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Adaptive Learning Algorithms for Personalized Education Systems Bridging Artificial Intelligence and Pedagogy by Endla Purushotham, N Jayapriya, P Savitha, M A Amarnath, Kumar Mahesh, G Simi Margarat

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Workflow for effective integration of community detection algorithms in brain network analysis by Flavio Averhoff, Vladimir Aristov, Ivan Stepanyan, Chen Yunwei, Jorge Gulín González

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Insight into the potential of algorithms using AI technology as in vitro diagnostics utilizing microbial extracellular vesicles by Jinho Yang

“…This paper reviewed the MEV-based algorithms developed by a variety of human samples and AI technology. …”
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AI-Driven Control Strategies for Biomimetic Robotics: Trends, Challenges, and Future Directions by Hoejin Jung, Soyoon Park, Sunghoon Joe, Sangyoon Woo, Wonchil Choi, Wongyu Bae

“…Furthermore, we analyze existing AI-based control methods applied to different types of biomimetic robots, highlighting their effectiveness, algorithmic approaches, and performance compared to traditional control techniques. …”
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Performance of machine learning algorithms to evaluate the physico-mechanical properties of nanoparticle panels by Derrick Mirindi, James Hunter, David Sinkhonde, Tajebe Bezabih, Frederic Mirindi

“…This review analyzes secondary data on nanoparticle integration in board production, aiming to evaluate the relationships among physical (water absorption (WA) and thickness swelling (TS)) and mechanical (modulus of rupture (MOR), modulus of elasticity (MOE); and internal bond (IB) strength) properties and to predict performance using machine learning (ML) algorithms. …”
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