Artificial Intelligence Medical Compendium

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

Showing 31,151 to 31,160 of 220,293 articles

Integrative multi-omics analysis identifies PAICS as a key regulator of epithelial-mesenchymal transition in breast cancer metastasis.

Discover oncology Apr 14, 2026
BACKGROUND: Breast cancer metastasis remains a major clinical challenge due to its complex molecular mechanisms, highlighting the need to identify key regulatory factors. METHODS: Multiple breast cancer metastasis datasets were integrated to comprehe... read more 

Long-Term Exposure to Fine Particulate Matter and Kidney Function among Patients with Polycystic Kidney Disease.

Clinical journal of the American Society of Nephrology : CJASN Apr 14, 2026
BACKGROUND: Polycystic kidney disease (PKD) is the fourth leading cause of end-stage kidney disease. Although the condition is primarily genetic, environmental exposures such as air pollution may influence disease progression. METHODS: We investigate... read more 

Nanobiosensors and Artificial Intelligence Strategies for Glycan Profiling in Cancer Progression: A Critical Review.

ACS sensors Apr 14, 2026
Glycans are complex carbohydrates that are integral to cancer progression and tumor biology. Conventional methods face challenges due to the structural diversity and low abundance of glycans, limiting the detection of cancer-associated glycan signatu... read more 

Musical haptics for the listener, Part I: tactile music enhancement systems for hearing and DHH users.

IEEE transactions on haptics Apr 14, 2026
In the past decade there has been an increasing attention towards the field of musical haptics for the listener, which concerns the creation and evaluation of systems conceived for conveying or augmenting music signals through the sense of touch. The... read more 

Label Hierarchy Transition: Delving into Class Hierarchies to Enhance Deep Classifiers.

IEEE transactions on pattern analysis and machine intelligence Apr 14, 2026
Hierarchical classification aims to sort the object into a hierarchical structure of categories. For example, a bird can be categorized according to a three-level hierarchy of order, family, and species. Existing methods commonly address hierarchical... read more 

VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language Model.

IEEE transactions on pattern analysis and machine intelligence Apr 14, 2026
The emergence of Large Vision-Language Models (LVLMs) marks significant strides towards achieving general artificial intelligence. However, these advancements are accompanied by concerns about biased outputs, a challenge that has yet to be thoroughly... read more 

Neural Network Optimization Reimagined: Decoupled Techniques for Scratch and Fine-Tuning.

IEEE transactions on pattern analysis and machine intelligence Apr 14, 2026
With the accumulation of resources in the era of big data and the rise of pre-trained models in deep learning, optimizing neural networks for various tasks often involves different strategies for fine-tuning pre-trained models versus training from sc... read more 

Adaptive Prototype-Guided Personalized Propagation for Heterophilic Graphs With Missing Data.

IEEE transactions on neural networks and learning systems Apr 14, 2026
Graph neural networks (GNNs) have achieved strong results on homophilic graphs with complete node attributes, yet their performance significantly deteriorates when faced with the combined challenges of heterophily and feature missingness. Heterophily... read more 

The AudioGene Translational Dashboard for Diagnosing Autosomal Dominant Nonsyndromic Hearing Loss: Phenotypic Data Visualization and Analysis Study.

JMIR bioinformatics and biotechnology Apr 14, 2026
BACKGROUND: Autosomal dominant nonsyndromic hearing loss (ADNSHL) is highly heterogeneous, with more than 64 genes implicated in its etiology. This complexity limits the diagnostic power of clinical examinations and audiometry alone, while existing c... read more 

Prediction of Relapse Using Digital Technology in People in Recovery From Substance Use Disorders: Early Economic Evaluation With a Case Study of the Subreal App.

JMIR formative research Apr 14, 2026
BACKGROUND: Many people relapse after achieving abstinence in substance use disorders. Health care providers may scan the horizon for new technologies to predict response that allow interventions to be targeted rather than routine. Currently, no such... read more 
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