With the increasing complexity of network environments, Distributed Denial of Service (DDoS) reflection and exploitation attacks have become more diverse, necessitating not only detection but also accurate classification. We aim to find novel finding... read more
Automated vocal performance assessment requires the integration of objective acoustic analysis and subjective expert opinions under uncertainty. Nevertheless, all current AI-based scoring methods ignore the issue of expert hesitation, whereas traditi... read more
Artificial intelligence painting tools (AIPT) are increasingly integrated into creative practices, yet designers' willingness to adopt them remains underexplored. This study applies the artificial intelligence device use acceptance (AIDUA) model, gro... read more
Subjective biases in current clinical assessments create an urgent need for objective biomarkers in Gaming Disorder (GD). Radiomics could help in diagnosis based on whole brain analysis and multidimensional indicators. This study aimed to find classi... read more
Reliable control of myoelectric prostheses is often hindered by high inter-subject variability and the clinical impracticality of high-density sensor arrays. This study proposes a deep learning framework for accurate gesture recognition using only tw... read more
This research evaluates the factors influencing the behavioural intention (BI) to adopt large language models (LLMs) among dental students in education, clinical decision support (CDS), and research, using the original unified theory of acceptance an... read more
Artificial intelligence (AI) is increasingly used in healthcare, yet translation into routine intensive care units (ICU) practice remains slow. Through a multimethod search, we identified 36 on-market ICU-specific AI-enabled medical devices in the US... read more
The development of robust algorithms for lung and lobe segmentation is essential for diagnosing and monitoring pulmonary diseases. Obtaining manual or automatic annotations is challenging, especially in patients with severe abnormalities due to poorl... read more
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