artificial intelligence

From Prediction to Practice: A Systematic Review of the Decision Support Gap in Artificial Intelligence and Machine Learning for Environmentally Sustainable Livestock Production

Artificial intelligence (AI) and machine learning (ML) are promoted as tools for improving the environmental sustainability of livestock production, but it remains unknown whether the models reported in this literature are used to support real-world decisions. We systematically reviewed studies that applied AI or ML to...

Weathering AI: artificial intelligence, climate change, and the Paris agreement

We explore the impact of artificial intelligence (AI) workforce adoption on shareholder value in the context of climate change, using stock market reactions to the Paris Agreement as a natural experiment. Based on a large sample of publicly listed U.S. companies and leveraging a novel measure of AI-skilled employees de...

Decoding circularity performance indicators in the nickel-battery electric vehicle supply chain: an artificial intelligence-driven model

Blockchain in the digital value creation chain of a retail enterprise

The digital transformation of retailing increasingly affects not only individual operations but the architecture of value creation, delivery, capture, and reproduction. The article develops a conceptual approach to managing the digital value creation chain within the retail enterprise business model and examines blockc...

Influence of AI personalization on consumer loyalty in the restaurant business: balance between efficiency and ethics

The article examines the influence of artificial intelligence-based personalization on the formation of consumer loyalty in the restaurant business. Current trends in the implementation of AI tools, including recommendation systems, dynamic pricing, and loyalty programs, as well as their impact on customer experience,...

Grape Seed Extract as a Cardiovascular Adjunct: Molecular Targets, Drug Interactions, and Antioxidant-Mediated Cardioprotection

Cardiovascular disease (CVD) is one of the major causes of mortality worldwide and in Romania. Vitis vinifera L. seed extract (GSCE), rich in oligomeric proanthocyanidins (OPCs), has shown cardioprotective activity at the molecular level and on surrogate clinical endpoints. This interdisciplinary narrative review synth...

SPOTnet: weakly-supervised specular reflection detection and removal for minimally invasive surgery

Specular reflections are a common artefact in minimally invasive surgery, obscuring anatomical landmarks and degrading downstream computer vision systems relied upon for artificial intelligence-assisted surgical analysis. Existing approaches either require labour-intensive annotation or fail to generalise across hetero...

An Enterprise AI Assurance Framework for Biomedical Diagnostics: Integrating a Human Validation Boundary and a Multidimensional Assurance Score into a Lifecycle Governance Model

Artificial intelligence (AI) systems for biomedical diagnostics are usually evaluated on predictive performance, yet clinical adoption also depends on reliability under distribution shift, interpretability, safety behaviour, equity across subgroups, clinician oversight, and post-deployment monitoring. Existing guidelin...

Enhancing Nocturnal Hypoglycemia Prediction Through Ensemble Feature Selection and Synthetic Data Augmentation

Nocturnal Hypoglycemia (NH), which occurs when blood glucose levels fall below 70 mg/dL during sleep, remains a common complication in people with Type 1 Diabetes. Despite advances in Continuous Glucose Monitoring (CGM), controlling both glucose and glycemic events remains challenging. Artificial Intelligence (AI) mode...

AI-Assisted Sequential Graf Assessment of Infant Hip Ultrasound: A Retrospective Single-Centre Evaluation in a Referral Cohort

Graf-method ultrasound supports early assessment of developmental dysplasia of the hip (DDH). This study assessed a sequential artificial-intelligence-assisted workflow and clinicians’ Checklist I decisions with and without computer-aided diagnosis (CAD). This retrospective single-centre study of referred infants used...

Inclusive Design for High-Readability and Dyslexic-Friendly Fonts

Definition The term high-readability, dyslexia-friendly font refers to a typeface specifically designed or configured to reduce the cognitive effort associated with reading, thereby improving text accessibility for individuals with dyslexia without compromising overall readability. Such typefaces aim to facilitate the...

China’s Practice and Institutional Improvement of Privacy Protection for Embodied AI: From Data Compliance to Contextual Compliance

Embodied artificial intelligence introduces distinctive privacy risks through data collection modalities such as continuous sensing and imperceptible capture in physical spaces. The static data-compliance framework anchored in notice and consent proves inadequate in addressing these risks. Drawing on the theory of cont...