The aim of this study is to evaluate artificial intelligence applications in the preschool education level within the framework of the multi-complementary approach (McA). The McA is designed as a comprehensive approach that encompasses multiple analy...
Digital health commodity networks process billions of transactions annually, yet European health systems exhibit diagnostic lags of 30–180 days between anomalous events and institutional detection. Existing governance architectures are retrospe...
Artificial intelligence (AI) adoption has become an important component of enterprise digitalisation, yet its relationship with business performance may depend on complementary digital technologies. This study examines the associations of AI adoption...
Objectives: Linked-colour imaging/blue-laser imaging (LCI/BLI) and CAD-EYE artificial intelligence have been developed for sporadic colorectal neoplasia, but their role in ulcerative colitis (UC) surveillance remains uncertain. We evaluated CAD-EYE-a...
Background/Objectives: Cardiopulmonary resuscitation (CPR) skill assessments are susceptible to evaluator subjectivity, cognitive fatigue, and observational limitations. Although recent advances in multimodal artificial intelligence have increased th...
Neurology is a quickly evolving specialty that requires clinicians to make precise and prompt diagnoses and clinical decisions based on the latest evidence-based medicine practices. In all Neurology subspecialties—Stroke and Epilepsy in particu...
Background/Objectives: Artificial intelligence (AI) is increasingly used to support chest radiograph interpretation, but its clinical value depends not only on stand-alone accuracy but also on whether its errors differ from those of clinicians. We ev...
Background/Objectives: Infant emotional responses during complementary feeding offer key insights into early developmental processes and feeding behaviors. AI-driven facial emotion analysis presents a novel, objective method to quantify these subtle...
This paper presents a concept of an intelligent sensing technique based on modulating the frequency responses of microwave near-field sensors to characterize material parameters. The concept is based on the assumption that the physical parameters bei...
AI use is associated with both cognitive relief and cognitive offloading, leading to uncertainty in how users make value judgments and decisions. This study focuses on in-class AI use and explores the perceptions of cognitive relief and cognitive off...
Complementary Metal Oxide Semiconductor (CMOS) and Micro-Electro-Mechanical System (MEMS) devices play significant roles in emerging research fields such as artificial intelligence (AI) [...]
As entrepreneurial environments become increasingly data-intensive, this study examines the literature on artificial intelligence in entrepreneurship through the perspective of cognitive extension. Positioned at the intersection of entrepreneurship a...
The unprecedented development of artificial intelligence (AI) makes it possible for computers to imitate and surpass human intelligence (HI). Hybrid intelligence is the result of the co-evolution of AI and HI and has huge application potential in pro...
Health technology research brings together complementary interdisciplinary research skills in the development of innovative health technology applications. Recent research indicates that artificial intelligence can help achieve outstanding performanc...
Breast cancer remains a global health problem requiring effective diagnostic methods for early detection, in order to achieve the World Health Organization’s ultimate goal of breast self-examination. A literature review indicates the urgency of...
The onset of cloud computing brought with it an adoption of containerization—a lightweight form of virtualization, which provides an easy way of developing and deploying solutions across multiple environments and platforms. This paper describes...
Background: Artificial intelligence (AI) has shown growing potential in the diagnosis of H. pylori infection, particularly through automated analysis of endoscopic images. Emerging studies have also explored treatment-related predictive applications,...
Computing in memory represented by resistive switching (memristive) devices is a promising way to implement hardware for artificial neural networks. We see it as the way to create energy-efficient and high-performance systems for solving a wide range...
Augmented intelligence—as the fusion of human and artificial intelligence—is effectively being employed in response to a spectrum of risks and crimes that stem from the online sexual exploitation marketplace. As part of a study that was s...
The Artificial Intelligence of Things (AIoT) is rapidly evolving from basic connectivity to intelligent perception, reasoning, and decision making across domains such as healthcare, manufacturing, transportation, and smart cities. Multimodal generati...
The recent and important advances in bottom-up synthetic biology (SB), in particular in the field of the so-called “synthetic cells” (SCs) (or “artificial cells”, or “protocells”), lead us to consider the role of w...
The treatment of big data as well as the rapid improvement in the speed of data processing are facilitated by the parallelization of computations, cloud computing as well as the increasing number of artificial intelligence techniques. These developme...
Medical practice is an interpretive, decision-making activity conducted under uncertainty, and care quality depends on clinicians’ ability to organize knowledge into hypotheses, understand mechanisms, estimate probabilities, and revise decision...
After a cancer diagnosis, patients experience intense uncertainty and increasingly resort to artificial intelligence chatbots in this process; however, how this use is experienced by patients has not been adequately studied. This study aimed to explo...
This paper explores the performance of ChatGPT and GeoGebra Discovery when dealing with automatic geometric reasoning and discovery. The emergence of Large Language Models has attracted considerable attention in mathematics, among other fields where...
Terahertz (THz) communication above 100 GHz is widely recognized as a key enabler for sixth-generation (6G) networks because of its ultra-broad bandwidth and strong directionality. Meanwhile, the rapid evolution of artificial intelligence has conside...
Artificial Intelligence (AI) is increasingly evaluated as both a functional technology and a socially responsive interaction partner. This study examines how academic staff form trust in educational AI and how that trust contributes to perceived valu...
Ambient Intelligence is a vision of daily life in which intelligent devices interact with humans to make their lives easier, and the technology is invisible. Artificial Intelligence (AI) governs this smart environment and must interact with humans to...
This study explores the relationship between Artificial Intelligence (AI) and net-zero carbon buildings (NZCBs) and net-zero energy buildings (NZEBs) over the last decade. A thematic evolution has been observed in this research area, shifting from co...
Background/Objectives: Artificial intelligence (AI)-based chatbots present a viable approach to overcoming several challenges associated with conventional psychotherapy, such as high financial costs, limited access to mental health professionals, and...
Endoscopic ultrasound (EUS) plays a crucial role in the diagnosis of both solid and cystic pancreatic lesions and in the staging of patients with pancreatic cancer through its use for tissue and fluid sampling. Additionally, in cases of precancerous...
The increasing integration of Artificial Intelligence (AI) into classroom practice has created the need for valid instruments to assess teachers’ readiness for AI integration. The present study developed and psychometrically validated the Teach...
Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) comprise a biologically and clinically heterogeneous spectrum of tumors with substantial inter- and intratumoral variability. Despite advances in molecular classification, imaging, and treatm...
Background: Critical illness is characterized by profound and rapidly evolving metabolic derangements driven by systemic inflammation, hypercatabolism, fluid shifts, and endocrine dysregulation. These dynamic changes markedly limit the accuracy of pr...
Supply chain resilience has become a critical capability for organizations operating in increasingly volatile global environments, where disruptions propagate rapidly across interconnected economic, technological, and cultural systems. Although artif...
Data-driven artificial intelligence systems effectively enhance accuracy and robustness by utilizing multi-view learning to aggregate consistent and complementary information from multi-source data. As one of the most important branches of multi-view...
Background: Artificial intelligence (AI)-supported learning environments are increasingly used in music education; however, evidence regarding their effectiveness in solfège instruction remains limited. This action research study evaluated the...
While most current image forgery localization (IFL) deep learning models focus primarily on the foreground of tampered images, they often neglect the essential complementary background semantic information. This oversight tends to create significant...
Industrial vision inspection systems increasingly combine machine vision, industrial metrology, artificial intelligence, industrial communication, and manufacturing automation within integrated cyber-physical production environments. Although extensi...
Traditional talent development models were designed before the AI revolution and do not consider artificial agents as possible sources of development. artificial intelligence is quickly infiltrating education spaces—but our thinking about learn...
Digitalization has become an important driver of regional economic transformation, yet its contribution to economic development may depend on complementary technological, innovation, and organizational capabilities. This study examines the relationsh...
The evaluation of research and development (R&D) project proposals plays a critical role in shaping national scientific and technological priorities. However, existing expert review systems are often characterized by fragmented digital workflows,...
The dual transition, green and digital, has become the strategic axis of the European Union, but quantitative evidence on the extent to which the adoption of digital technologies and artificial intelligence effectively supports the decoupling of econ...
Multimodal medical artificial intelligence (AI) aggregates complementary evidence from imaging, omics, pathology, and clinical records, yet hospital deployment routinely confronts structurally incomplete inputs. This review synthesizes 77 algorithmic...
In response to global sustainability challenges and digital transformation, this conceptual paper explores the intersection of Artificial Intelligence (AI), Human Resource Management (HRM), and Circular Economy (CE). Drawing on Resource-Based View, S...
Deep learning models contributed to reaching unprecedented results in prediction and classification tasks of Artificial Intelligence (AI) systems. However, alongside this notable progress, they do not provide human-understandable insights on how a sp...
Generative artificial intelligence in higher education is typically framed as either a student productivity tool or an institutional disruption. This agenda-setting essay advances a third position: mobile generative AI functions as relational infrast...
Micromachined ultrasonic transducers (MUTs) represent a notable advance in miniaturized sensing, enabling compact, low-power, and complementary metal-oxide-semiconductor (CMOS)-integrated platforms that extend ultrasonic capabilities into wearable, i...
Background: Over the past two decades, teleophthalmology has become an effective approach for glaucoma screening and follow-up, with its adoption markedly accelerated by the COVID-19 pandemic. Objectives: The aim of the present study was to explore a...
6 November 2026
The recent expansion of conversational artificial intelligence has driven the integration of intelligent chatbots into various digital spaces, progressively transforming how people interact with technology-based services and platforms, particularly w...
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