Sleep is an essential behavioral state that evolved early in animals, possibly with the advent of the nervous system. The complexity of sleep neural networks varies significantly across phylogeny, yet common signaling molecules exist. Stress-induced ... read more
BackgroundThe clinical heterogeneity of systemic lupus erythematosus exceeds the resolution of conventional disease activity instruments. Artificial intelligence offers the analytical infrastructure to engage with this complexity, yet the translation... read more
BACKGROUND: Fractional flow reserve derived from CT (FFR-CT) enables non-invasive functional assessment of coronary stenoses in patients with suspected or known coronary artery disease, but evidence regarding its prognostic value remains fragmented. ... read more
We present a graph neural network (GNN) based surrogate framework for molecular dynamics simulations that directly predicts atomic displacements and learns the underlying evolution operator of an atomistic system. Unlike conventional molecular dynami... read more
OBJECTIVES: To elicit stated preferences and willingness-to-pay (WTP) for artificial intelligence (AI)-enabled blended care in type 2 diabetes mellitus (T2DM), and to examine preference heterogeneity by digital experience and socioeconomic status (SE... read more
The article by DurĂ¡n and Jongsma attempts to establish philosophical grounds for trust in medical artificial intelligence (AI) by positing concerns about opacity, 'black box' algorithms and epistemic justification. However, their argument conflates d... read more
OBJECTIVE: We aimed to propose a prognostic framework using a dual-branch Vision Transformer (ViT) deep learning (DL) architecture for stratifying recurrence risk in solitary primary hepatocellular carcinoma (HCC) patients undergoing surgical resecti... read more
RATIONALE AND OBJECTIVES: To evaluate the impact of varying spatial resolutions on image quality, and deep-learning (DL) based quantification of coronary stenosis and plaque volumes using photon-counting detector CT (PCD-CT). MATERIALS AND METHODS: I... read more
The Veterinary clinics of North America. Small animal practice
May 20, 2026
Companion animal disease surveillance now benefits from collated databases of electronic health records and artificial intelligence. This review examines computational approaches for analyzing unstructured veterinary clinical text, from rule-based sy... read more
Journal of the American Medical Informatics Association : JAMIA
May 20, 2026
BACKGROUND: Generative artificial intelligence (AI) chatbots built on large language models are rapidly entering mental-health care, offering human-like support without meeting evidentiary standards for safety or effectiveness. OBJECTIVE: To examine ... read more
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