Artificial Intelligence Medical Compendium

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

Showing 28,171 to 28,180 of 219,064 articles

Structure-guided molecular design with contrastive 3D protein-ligand learning

arXiv
Structure-based drug discovery faces the dual challenge of accurately capturing 3D protein-ligand interactions while navigating ultra-large chemical spaces to identify synthetically accessible candidates. In this work, we present a unified framework ... read more 

Evaluating Histogram Matching for Robust Deep learning-Based Grapevine Disease Detection

arXiv
Variability in illumination is a primary factor limiting deep learning robustness for field-based plant disease detection. This study evaluates Histogram Matching (HM), a technique that transforms the pixel intensity distribution of an image to match... read more 

Seeing Candidates at Scale: Multimodal LLMs for Visual Political Communication on Instagram

arXiv
This paper presents a computational case study that evaluates the capabilities of specialized machine learning models and emerging multimodal large language models for Visual Political Communication (VPC) analysis. Focusing on concentrated visibility... read more 

Deep sprite-based image models: An analysis

arXiv
While foundation models drive steady progress in image segmentation and diffusion algorithms compose always more realistic images, the seemingly simple problem of identifying recurrent patterns in a collection of images remains very much open. In thi... read more 

TS-Attn: Temporal-wise Separable Attention for Multi-Event Video Generation

arXiv
Generating high-quality videos from complex temporal descriptions that contain multiple sequential actions is a key unsolved problem. Existing methods are constrained by an inherent trade-off: using multiple short prompts fed sequentially into the mo... read more 

APSevLM: Acute Pancreatitis Severity Language Model.

IEEE journal of biomedical and health informatics
Approximately one-fifth of patients with acute pancreatitis (AP) develop severe forms, which are associated with high mortality rates, making early prediction of severity crucial for effective patient management. In this study, we present APSevLM (Ac... read more 

Enhancing Target Recognition Performance in SSVEP-Based Brain-Computer Interfaces via Deep Neural Networks with Pyramid Squeeze Attention.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Steady state visual evoked potential (SSVEP)-based brain-computer interfaces have been widely studied for their fast response speeds and high information transfer rates. However, how to fully utilize the potential information of existing subjects to ... read more 

Probabilistic Forecasting for Coarse-Grained Molecular Dynamics.

Journal of chemical theory and computation
Coarse-grained molecular dynamics enables access to long length and time scales but often fails to reproduce atomistic kinetics when memory effects and slow collective motions are important. We introduce Probabilistic Forecasting for Coarse-Graining ... read more 

Multi-class classification of autoimmune skin disease by efficient localization of overlapped lesion boundaries using SAM.

Expert review of clinical immunology
BACKGROUND: Detection of Autoimmune skin disease is found challenging due to overlapping features and irregular skin lesion boundaries. Although numerous deep learning models have been proposed for skin disease classification, most are primarily desi... read more 

CORE-Net: A cross-modal orthogonal representation enhancement network for low-altitude multispectral object detection.

PloS one
Object detection in visible light (RGB) images is frequently compromised by low-illumination conditions, whereas infrared (IR) imaging typically exhibits superior robustness in such environments. Multispectral fusion addresses this limitation by leve... read more