The increasing complexity and volume of financial transactions pose
significant challenges to traditional fraud detection systems. This technical
report investigates and compares the efficacy of classical, quantum, and
quantum-hybrid machine learni... read more
BACKGROUND: While codes suffice for identifying stroke events in surveillance, accurately classifying stroke types and subtypes using electronic health records remains challenging due to limitations in structured data. This often necessitates manual... read more
Clinical chemistry and laboratory medicine
Jul 25, 2025
OBJECTIVES: Use of machine learning (ML) in diagnostics offers promise to optimise interpretation of laboratory data and guide clinical decision-making. For this, ML-based outputs should provide robustly reproducible results at least as good as the u... read more
The modeling of genomic sequences presents unique challenges due to their
length and structural complexity. Traditional sequence models struggle to
capture long-range dependencies and biological features inherent in DNA. In
this work, we propose Tr... read more
Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences
Jul 25, 2025
BackgroundNon-contrast computed tomography (NCCT) is the first image for stroke assessment, but its sensitivity for detecting large vessel occlusion (LVO) is limited. Artificial intelligence (AI) algorithms may contribute to a faster LVO diagnosis us... read more
Recent advances in multi-modal large language models (MLLMs) have opened new
possibilities for unified modeling of speech, text, images, and other
modalities. Building on our prior work, this paper examines the conditions and
model architectures un... read more
BACKGROUND: Artificial intelligence (AI) augmentation of ECG assessment has significant potential to improve patient outcomes in acute coronary syndrome. read more
Digital technologies and tools have transformed the way we can study cultural
heritage and the way we can recreate it digitally. Techniques such as laser
scanning, photogrammetry, and a variety of Mixed Reality solutions have enabled
researchers to... read more
Risk factor-based algorithms give a good estimate of cardiovascular (CV) risk at the population level but are often inaccurate at the individual level. Detecting preclinical atherosclerotic plaques in the carotid and common femoral arterial bifurcati... read more
Artificial intelligence chatbots have achieved unprecedented adoption, with
millions now using these systems for emotional support and companionship in
contexts of widespread social isolation and capacity-constrained mental health
services. While s... read more
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