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Background and Purpose: Insufficient documentation of artificial intelligence (AI) models remains a widespread issue, which hampers reproducibility in research environments and safe integration in clinical departments. O...

This study examines the factors that determine whether firms adopt AI and are ready to invest, and explores labour-market and employment-related expectations in wartime Ukraine. Methodology. The study is based on origina...

Abstract Objective Acute heart failure (AHF) is a common but underrecognized cause of dyspnea. Chest computed tomography (CT) can accurately assess pulmonary congestion, but radiologist reporting capacity may limit clini...

Abstract Background Fetal hypoxia is a leading cause of neonatal morbidity and mortality. Cardiotocography (CTG) is widely used to predict fetal hypoxia during labor, but its interpretation remains suboptimal. Artificial...

Artificial Intelligence (AI) is transforming modern workplaces by offering opportunities to enhance employee well-being while simultaneously introducing significant challenges. Although scholarly interest in the intersec...

In the context of accelerated technological development, education systems are increasingly influenced by digital transformation and data-driven innovations. Among these, artificial intelligence has emerged as a strate...

Artificial intelligence (AI) technologies are being deeply integrated into critical infrastructures, making AI resilience essential to ensuring the secure and stable operation of such systems. This study defines AI resil...

The integration of artificial intelligence (AI) in higher education (HE) presents both opportunities and challenges to teaching and learning efforts. This pilot study investigates the experiences of HE learners toward ge...

Digital transformation has brought significant changes to the fields of health and education, with artificial intelligence (AI) technologies emerging as one of the most prominent components of this shift. Generative AI t...

The application of Artificial Intelligence (AI) in project management is transforming decision-making processes, enhancing task execution, and improving risk management. This study aimed to elucidate the challenges raise...

ABSTRACT Background Artificial intelligence (AI) has catalyzed profound shifts in public health education, compelling institutions to explore innovative methods to prepare a digitally competent and resilient workforce. A...

Rapid urbanisation across Africa is placing increasing strain on urban governance systems, intensifying long-standing challenges such as infrastructure deficits, inefficient service delivery, and limited institutional ca...

Orientation: Artificial intelligence is increasingly transforming employee assistance programmes (EAPs) by enabling proactive, data-driven and context-sensitive approaches to employee well-being. In South African contex...

Abstract Precise extraction of medical phenotypes and entities from electronic health record (EHR) text is vital for numerous clinical research tasks, including cohort classification, tracking temporal patterns in diseas...

Artificial intelligence (AI) is increasingly used to design and optimize small molecules. However, most current workflows remain centered on drug-candidate objectives, such as potency, ADMET, and drug-likeness, rather th...

Artificial intelligence (AI) has emerged as a transformative force in modern ophthalmology, enabling rapid advances in disease detection, clinical decision support, workflow optimization, and tele-ophthalmology. Ophthalm...

Abstract Artificial intelligence (AI) has transformed social media into a powerful tool for educational learning engagements. WeChat, a Chinese social media platform, is extensively used by students for academic learning...

IntroductionVisual electrophysiology, including electroretinograms (ERG) and visual evoked potentials (VEP), provides a real-time functional assessment of retinal and post-retinal pathways, complementing structural imagi...

Abstract Objective To conduct a systematic review of external validation studies on the use of different Artificial Intelligence algorithms in breast cancer screening with mammography. Data source Our systematic revi...

This research aims to identify ethical-philosophical issues arising from AI technology's presence in the academic world and identify the impact of AI's presence in the academic world on humanity's future as global citize...

Modern trends have clearly shown that artificial intelligence is no longer just a futuristic concept of the future. The dynamics of its development and the possibilities of practical application have already made it a po...

The article analyzes communication strategies for interacting with artificial-intelligence-based language models. The relevance of the topic stems from a scientific and didactic problem: how to ensure a controllable comm...

The rapid evolution of Generative Artificial Intelligence (GenAI) and the transition to Society 5.0 have catalyzed a profound socio-technical metamorphosis in global education systems, shifting the role of education lead...

ABSTRACT Background and Aims The therapeutic limitations of conventional cancer treatment currently deployed are driving the development and creation of new nano‐drugs. Prostate cancer (PCa) is a prevalent clinical pro...