Artificial Intelligence Medical Compendium

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

Showing 50,241 to 50,250 of 224,814 articles

Machine Learning-Assisted Screening of High-Entropy Sub-1 nm Nanowires for Ultrasound-Augmented Pancatalytic Tumor Therapy.

Journal of the American Chemical Society Feb 15, 2026
The rational design of catalytic nanomaterials, particularly high-entropy alloy (HEA) nanomaterials with their unique structures, is crucial for advancing pancatalytic therapy and holds promise for catalytic biomedical applications. Nevertheless, con... read more 

Kaposi's sarcoma in individuals living with HIV: comparative assessment of AI-based clinical responses using a standardized questionnaire set.

Cutaneous and ocular toxicology Feb 15, 2026
OBJECTIVE: To comparatively evaluate the clinical responses of three digital platforms (ChatGPT 5.2, DeepSeek, Consensus) in terms of responsiveness, accuracy, and clinical applicability, using a standardized set of questions on HIV-related Kaposi's ... read more 

Large-Scale Cooperative Sulfur Vacancy Dynamics in Two-Dimensional Mos2 From Machine Learning Interatomic Potentials.

Small (Weinheim an der Bergstrasse, Germany) Feb 15, 2026
The formation of extended sulfur vacancies in MoS2 monolayers is closely associated with catalytic activity and may also be the basis for its memristive behavior. Nanosecond-scale molecular dynamics simulations using machine learning interatomic pote... read more 

Deep learning-assisted double strong coupling between multi-order anapoles and excitons.

Optics letters Feb 15, 2026
High-order anapoles present strongly concentrated energy and narrow resonance widths and thus become burgeoning candidates in nonlinear optical conversion and strong coupling fields. Nevertheless, existing studies are rarely focused on strong couplin... read more 

A method for aerosol fluorescence lifetime measurement based on Mie-fluorescence lidar.

Optics letters Feb 15, 2026
In this Letter, a remote sensing method for measuring the fluorescence lifetime of aerosols is proposed, which combines the Mie-fluorescence lifetime-scattering (MFLS) model, established based on Mie and fluorescence lidar theory, with the golden sec... read more 

Atmospheric carbon concentration scenario classification based on the fusion of spectral and acoustic modalities.

Optics letters Feb 15, 2026
Accurate carbon concentration monitoring is vital for climate change mitigation and environmental management. While laser-induced breakdown spectroscopy (LIBS) offers rapid, non-destructive detection, it is affected by plasma fluctuations and environ... read more 

PRISM: a peak region identification and signature mapping method based on laser-induced spectroscopy-acoustics fusion for metal corrosion discrimination.

Optics letters Feb 15, 2026
To overcome the single-modal limitations of Laser-Induced Breakdown Spectroscopy (LIBS) for identifying diverse metal corrosion types in industrial settings, we introduce a multi-modal approach by incorporating acoustic signals, termed Laser-Induced ... read more 

Discovery of a novel compound against BmNPV using virtual screening based on the protein structure of the viral whole genome.

Pesticide biochemistry and physiology Feb 15, 2026
Currently, effective antiviral drugs against Bombyx mori nucleopolyhedrovirus (BmNPV) are still lacking, which has caused significant economic damage to the sericulture industry. Virtual screening and artificial intelligence provide opportunities for... read more 

Fusing Pixels and Genes: Spatially-Aware Learning in Computational Pathology

arXiv Feb 15, 2026
Recent years have witnessed remarkable progress in multimodal learning within computational pathology. Existing models primarily rely on vision and language modalities; however, language alone lacks molecular specificity and offers limited pathologic... read more 
Computer Vision and Pattern Recognition

MarsRetrieval: Benchmarking Vision-Language Models for Planetary-Scale Geospatial Retrieval on Mars

arXiv Feb 15, 2026
Data-driven approaches like deep learning are rapidly advancing planetary science, particularly in Mars exploration. Despite recent progress, most existing benchmarks remain confined to closed-set supervised visual tasks and do not support text-guide... read more 
Computer Vision and Pattern Recognition astro-ph.IM cs.CL
Popular Topics
Recent Journals