Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 61,881 to 61,890 of 230,319 articles

FluidFormer : Transformer with continuous convolution for particle-based fluid simulation.

Neural networks : the official journal of the International Neural Network Society Jan 21, 2026
Learning-based fluid simulation has emerged as an efficient alternative to traditional Navier-Stokes solvers. However, existing neural methods that build upon Smoothed Particle Hydrodynamics (SPH) predominantly rely on local particle interactions, wh... read more 

Cross-category spatiotemporal consensus and discriminative networks for weakly-supervised temporal action localization.

Neural networks : the official journal of the International Neural Network Society Jan 21, 2026
Weakly-supervised temporal action localization is a practical task that localizes different action instances from untrimmed videos without frame-level annotations. Current approaches either enhance the discriminative features of action snippets to re... read more 

ClathPLM: Deep multi-view feature extraction with CNN and attention enhances clathrin protein identification.

Journal of molecular graphics & modelling Jan 21, 2026
Clathrin is a key structural protein in intracellular vesicle transport, mainly mediating clathrin-mediated endocytosis (CME) through trimeric assembly. Its functional abnormalities are closely associated with various diseases, including neurodegener... read more 

Study on methods for measuring beef color and predicting storage time based on computer vision.

Meat science Jan 21, 2026
In this study, a non-destructive and accurate method based on computer vision and machine learning was developed to measure beef surface color and to predict storage time and the relative proportion of oxymyoglobin. Images of the Longissimus thoracis... read more 

Lifelong knowledge graph embedding via diffusion model.

Neural networks : the official journal of the International Neural Network Society Jan 21, 2026
Lifelong knowledge graph embedding (KGE) methods aim to learn new knowledge continuously while retaining old knowledge. This line of work has received much attention for its potential to enable knowledge retention and transfer and to reduce training ... read more 

Transcriptome integration analysis of shared biomarkers and common immune mechanisms in SLE and PSO.

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases Jan 21, 2026
This study aimed to identify shared diagnostic biomarkers and common immune mechanisms between systemic lupus erythematosus (SLE) and psoriasis (PSO) via integrated transcriptomic analysis, and to elucidate the role of genetic susceptibility in drivi... read more 

Advances in NMR Spectroscopy for biological systems: Principles, techniques, and their growing scope.

Biotechnology advances Jan 21, 2026
Nuclear Magnetic Resonance (NMR) spectroscopy is a crucial tool in structural biology, uniquely capable of revealing protein structure, dynamics, and interactions at atomic resolution in environments that closely resemble native conditions. The combi... read more 

From Evidence-based Endodontics to Generative AI: A Comparative Study of 11 Large Language Models.

Journal of endodontics Jan 21, 2026
INTRODUCTION: Generative large language models (LLMs) are increasingly used in dentistry, yet their guideline-based diagnostic accuracy and reproducibility remain uncertain. Position statements from the American Association of Endodontists and the Eu... read more 

Artificial intelligence and machine learning driven nanorobotics for targeted brain delivery: Redefining blood-brain barrier navigation.

Journal of neuroscience methods Jan 21, 2026
The blood-brain barrier (BBB) plays a central role in preserving central nervous system (CNS) homeostasis, and its dysfunction is implicated in various neurological disorders and brain malignancies. To emulate the complex architecture and signaling e... read more 

Syntactic complexity of written text as a structural linguistic marker of depressive symptoms.

Journal of affective disorders Jan 21, 2026
BACKGROUND: Language analysis methods have been increasingly explored for the detection of depressive symptoms. However, current approaches have largely focused on analysing the thematic content of language, while the underlying structure and grammat... read more 
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