Artificial Intelligence Medical Compendium

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

Showing 22,191 to 22,200 of 216,627 articles

Leveraging Color Naming for Image Enhancement.

IEEE transactions on pattern analysis and machine intelligence
Enhancing images to make them visually appealing is a persistent challenge in computer vision. Many deep-learning methods train models on paired datasets to replicate expert editing styles. However, these approaches struggle with two key issues: (1) ... read more 

Deep Time Series Models: A Comprehensive Survey and Benchmark.

IEEE transactions on pattern analysis and machine intelligence
Time series, characterized by a sequence of data points organized in a discrete-time order, are ubiquitous in real-world scenarios. Unlike other data modalities, time series present unique challenges in learning and modeling due to their intricate an... read more 

CIM-VTP: Correlation-Guided Image Modeling with Visual-Textual Task Prompt for Universal Medical Image Registration.

IEEE transactions on medical imaging
Universal medical image registration through a single model handling various registration tasks has attracted increasing interest. However, existing deep learning-based methods face two major challenges in adapting to universal registration tasks: 1)... read more 

Harnessing Terminal Signal-Aware Deep Learning for Accurate Multi-Class Secreted Effector Identification.

IEEE journal of biomedical and health informatics
Gram-negative bacterial secreted effectors are translocated through specialized secretion systems to manipulate host cellular processes, and their accurate identification is crucial for understanding bacterial pathogenesis. Recent deep learning metho... read more 

TransVort: A Temporally-Coherent Physics-Guided Neural Network for Super-Resolving and Denoising 4D Flow MRI of Cerebrospinal Fluid.

IEEE transactions on bio-medical engineering
OBJECTIVE: To enhance the diagnostic utility of 4D flow MRI in assessing cerebrospinal fluid (CSF) dynamics by super-resolving and denoising measured velocities using temporally coherent, physics-guided neural networks (PGNN). METHODS: Synthetic 4D f... read more 

Evaluating the Potential Impact of AI on Urinary Tract Infection Diagnosis in the Emergency Department Across Demographic Groups: Retrospective Cohort Study.

JMIR AI
BACKGROUND: Urinary tract infection (UTI) is a common emergency department (ED) presentation but can be challenging to diagnose; both overdiagnosis and underdiagnosis are common, and older adults may be at particular risk of misdiagnosis. Artificial ... read more 

From Fitness to Cognition: Machine-Learning Prediction of Cognitive Performance Using Physiological Parameters in Healthy Adults.

Medicine and science in sports and exercise
INTRODUCTION: Current cognitive tasks are not suitable for frequent monitoring of cognitive function in healthy adults. Increasing evidence suggests that cardiorespiratory fitness, cardiovascular function, and autonomic regulation are associated with... read more 

AI and Internet of Things for Chronic Obstructive Pulmonary Disease Remote Monitoring: Systematic Review of Exacerbation Prediction and Key Physiological Variables.

JMIR medical informatics
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide, with frequent exacerbations of COPD (ECOPD) significantly impacting patient health and health care systems. Predicting ECOPD early would... read more 

Actually, what is a gain-of-function mutation?

Genetics
For more than a century, scientists have worked to characterize, understand, and predict the consequences of mutations. For almost as long, scientists-always on the lookout for general principles-have categorized these mutations, hoping that putting ... read more 

Use of hydrogen deuterium exchange mass spectrometry in tandem with modern structural biology.

The Biochemical journal
Hydrogen-deuterium exchange mass spectrometry (HDX-MS) is an established technique that measures the exchange rate of amide hydrogens, with this exchange rate being a surrogate for protein conformational dynamics. Advances in instrumentation, automat... read more