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A systematic review and bibliometric analysis of 627 articles produced a conceptual framework with two dimensions and four paradigms that advances theoretical understanding of hybrid decision-making and provides actionable insights for organizations in AI-driven environments.

AI reduces unwanted variability in structured pattern recognition tasks such as imaging analysis, improving diagnostic consistency and mitigating noise-driven errors.

AI programs let estate agents quickly and cheaply stage and enhance listing photos to help buyers visualise a property's potential.

Producer used generative AI as a tool to create a cover that provided listeners with good music and achieved 35m Spotify streams and No 1 on the National Radio Airplay chart.

Secure federated learning allows organizations to build data networks and share knowledge without compromising user privacy.

Protecting weights important for previous tasks enables deep neural networks to be trained sequentially and achieve state-of-the-art results on multiple reinforcement learning problems experienced sequentially.

XAI-driven data mining applied to IoT ecosystems can detect anomalies and support automated security decisions through transparent and interpretable reasoning for smart city infrastructure.

AI-based defense automates anomaly detection, data analysis and incident response to improve protection efficiency in cyberspace.

Trust and Safety defenders can use generative AI to detect and mitigate harmful content at scale and support investigations and moderator wellbeing.

AI combined with multimodal retinal imaging provides a non-invasive method for early risk stratification and screening for cardiovascular, metabolic and neurodegenerative disorders using retinal vasculature and nerve layer changes.

AI systems in the operating room using multimodal data from patients, teams, robots and environment to provide situational awareness and intraoperative decision-making that optimizes surgical actions.

Art students classified as enthusiastic explorers and human-centered directors report using generative AI as a controllable tool that enables novel expression and co-agency in creative work.

National EHR networks covering up to more than 200 million patients can support learning health systems by enabling large-scale aggregation and benchmarking for ML/AI development.

Machine learning models demonstrated promising accuracy for sport applications including action recognition, injury prediction and prevention, and athlete selection, offering opportunities for performance enhancement and decision-making.

University students in Qatar reported willingness to use AI-based mental health tools for stress management as a complement to human care, valuing lower cost and round-the-clock access.