Artificial Intelligence Medical Compendium

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

Showing 33,511 to 33,520 of 221,422 articles

Data-efficient Self-Supervised Diffusion Learning for Detecting Myofascial Pain in Upper Trapezius Muscle with B-mode Ultrasound Videos

medRxiv
Deep learning has transformed medical image and video analysis, but it usually requires large, well annotated datasets. In many clinical domains, especially when testing novel mechanistic hypotheses, such retrospective datasets are hard to obtain sin... read more 

DGAE: Dynamic Graph Convolutional Network for Multi-Slice Spatial Transcriptomics Alignment and Enhancement.

IEEE transactions on computational biology and bioinformatics
Spatial transcriptomics (ST) helps us understand cell interactions, developmental processes, and disease progression within tissues by analyzing gene expression while preserv ing spatial information on tissue sections. However, the spatial distributi... read more 

Neural Architecture Search With Spatial-Spectral Attention for Higher-Order Nonlinear Hyperspectral Unmixing.

IEEE transactions on neural networks and learning systems
The extended multilinear mixing (EMLM) model has garnered considerable attention due to its proficiency in accurately characterizing intricate nonlinear mixing processes in hyperspectral unmixing (HU). However, current deep learning (DL) approaches l... read more 

Actor-Critic-Based Prescribed Performance Optimal Control for Flexible-Joint Robots With Input Delay.

IEEE transactions on neural networks and learning systems
This article presents a prescribed performance optimal control method for flexible-joint (FJ) robots with input delay. First, an auxiliary system and the dynamic surface control method are utilized to construct coordinate transformations, which effec... read more 

Bridging Distribution Gaps in Time Series Foundation Model Pretraining With Prototype-Guided Normalization.

IEEE transactions on neural networks and learning systems
Foundation models (FMs) have achieved remarkable success across diverse machine learning domains through large-scale pretraining on large, diverse datasets. However, pretraining on such datasets introduces significant challenges due to substantial mi... read more 

MosQNet-SA: Explainable convolutional-attention network for mosquito classification with application as a RESTful API for dengue and malaria risk mapping.

PloS one
Mosquito-borne diseases represent a significant global health challenge. Over 700,000 people succumb to mosquito-borne diseases annually, highlighting the important need for accurate and efficient mosquito classification systems. Current approaches f... read more 

Machine Learning-Assisted High-Temperature Nonequilibrium Kinetics of Air Components: From Microscale to Macroscale.

The journal of physical chemistry letters
The growing demand for reproducing state-to-state (StS) level accuracy in modeling the nonequilibrium kinetics of air components at temperatures above 5000 K has spurred the use of microscopic state-specific data to revise macroscopic thermochemical ... read more 

Prediction of on-field rugby scrummaging contact forces from videos using artificial neural networks.

PloS one
Rugby is a contact sport with a high risk of injury. Scrums are a key component of the game and represent a collision event associated with serious injuries, especially to the cervical spine. Traditional methods for measuring scrum forces rely on bot... read more