Integrating AI into neurosurgical decisions: a new Frontier in medicine by Kashif Munir

Get full text

Advanced Sensor Integration and AI Architectures for Next-Generation Traffic Navigation by Cosmina-Mihaela Rosca, Adrian Stancu, Ionuț-Adrian Gortoescu

“…The proposed solution integrates small-sized equipment (ESP32 equipped with accelerometers, gyroscopes, and cameras), cloud-based AI services (Azure Content Safety), and a multi-parametric analytical framework for real-time navigation. …”
Get full text

Risk inventory and mitigation actions for AI in medical imaging—a qualitative study of implementing standalone AI for screening mammography by Annika Gerigoorian, Maha Kloub, Karin Dembrower, Mats Engwall, Fredrik Strand

“…Abstract Background Recent prospective studies have shown that AI may be integrated in double-reader settings to increase cancer detection. …”
Get full text

Human-Centered AI for Migrant Integration Through LLM and RAG Optimization by Dagoberto Castellanos-Nieves, Luis García-Forte

“…Traditionally, the focus on algorithms alone has shifted toward a more comprehensive understanding of AI’s potential to shape technology in ways which better serve human needs, particularly for disadvantaged groups. …”
Get full text

AI Scribes in Health Care: Balancing Transformative Potential With Responsible Integration by Tiffany I Leung, Andrew J Coristine, Arriel Benis

“…Further, there are concerns about ethical and legal issues, algorithmic bias, the potential for long-term “cognitive debt” from overreliance on AI, and even the potential loss of physician autonomy. …”
Get full text

AI-based algorithms for estimating hydrochar properties in terms of biomass ultimate analysis by Raouf Hassan, Ali sharifzadegan, Alireza Baghban

Get full text

The sovereignty-internationalism paradox in AI governance: digital federalism and global algorithmic control by Artur Ishkhanyan

“…Abstract This study examines the sovereignty-internationalism paradox in AI governance, which encapsulates the tension between state control over algorithmic systems and the necessity of transnational collaboration to regulate borderless technologies. …”
Get full text

Integrating Remote Sensing and AI for precision Monitoring of Soil and Vegetation Contamination by M. Spiralski, A. Miszczak, G. Siebielec, Ż. Piasecka, R. Trojnacki, P. Kwaśnik, J. Kotlarz, K. A. Kubiak-Siwinska, M. Kacprzak, S. Marciniak, K. A. Rotchimmel, K. P. Beben, J. Szymanski

Get full text

Heterogeneous AI Music Generation Technology Integrating Fine-Grained Control by Hongtao Wang, Li Gong

Get full text

Blockchain based solid waste classification with AI powered tracking and IoT integration by Aliaa M. Alabdali

“…This study presents an AI-driven waste classification model that integrates IoT and Blockchain technologies. …”
Get full text

Navigating the Dilemma of AI Integration for Organisational Performance: Insights for Contemporary Business Strategists by Jeanette Owusu, Isaac Sardello Kodzo Agbesi

“…This article reviews the challenges and opportunities associated with integrating Artificial intelligence (AI) into business operations through the lens of Dynamic Capabilities Theory (DCT). …”
Get full text

Big Data and AI Algorithms for Sustainable Development Goals: A Topic Modeling Analysis by Prema Nedungadi, Simi Surendran, Kai-Yu Tang, Raghu Raman

“…The study suggests future research focus on AI transparency, scaling across diverse sectors, and integrating advanced techniques such as neurosymbolic AI and quantum neural networks to enhance system reliability. …”
Get full text

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

Get full text

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. …”
Get full text

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. …”
Get full text

Integrating Moral Values in AI: Addressing Ethical Challenges for Fair and Responsible Technology by Khushboo Shah, Hiren Joshi, Hardik Joshi

“…Here author has proposed a new model named Ethical Alignment Algorithm (EAA). This model helps to integrate ethics with AI step-by-step. …”
Get full text

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. …”
Get full text

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

Get full text

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.…”
Get full text

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. …”
Get full text