AI Medical Compendium

SelfBlending: Artificial Intelligence-driven Augmentation with Hand Interactions for Seamless Reality Blending in Virtual Environments.

IEEE transactions on visualization and computer graphics May 6, 2026

Accessing real-world objects during immersive virtual reality (VR) experiences remains challenging, as current cross-reality systems often rely on predefined interaction steps, tracking devices/markers, or fixed object setups. They also lack support ... read more

HRMamba: A Hybrid Retinex and State-Space Model for Underwater Image Enhancement.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society May 6, 2026

Underwater light absorption and scattering lead to severe color distortion, reduced visibility, contrast loss, and a significant degradation in image quality, thereby impeding both human visual analysis and machine vision tasks. Although considerable... read more

Leveraging Color Naming for Image Enhancement.

IEEE transactions on pattern analysis and machine intelligence May 6, 2026

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 May 6, 2026

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 May 6, 2026

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 May 6, 2026

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 May 6, 2026

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 May 6, 2026

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 May 6, 2026

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 May 6, 2026

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

Artificial Intelligence Medical Compendium