Artificial Intelligence Medical Compendium

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

Showing 2,861 to 2,870 of 168,134 articles

Metabolic Adaptation Study of Tumor Cells during Lung Cancer Bone Metastasis in Mice Based on Single-Cell Metabolome Analysis.

Journal of the American Society for Mass Spectrometry Aug 6, 2025
Lung cancer metastasis, the leading cause of patient mortality, is driven by circulating tumor cells (CTCs), which act as direct mediators of metastatic spread. To elucidate the metabolic heterogeneity across lung cancer metastatic stages, a panorami... read more 

Visual Bias and Interpretability in Deep Learning for Dermatological Image Analysis

arXiv Aug 6, 2025
Accurate skin disease classification is a critical yet challenging task due to high inter-class similarity, intra-class variability, and complex lesion textures. While deep learning-based computer-aided diagnosis (CAD) systems have shown promise in... read more 
Computer Vision and Pattern Recognition

Beyond the type 1 pattern: comprehensive risk stratification in Brugada syndrome.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing Aug 6, 2025
Brugada Syndrome (BrS) is an inherited cardiac ion channelopathy associated with an elevated risk of sudden cardiac death, particularly due to ventricular arrhythmias in structurally normal hearts. Affecting approximately 1 in 2,000 individuals, BrS ... read more 

Dynamic neural network modulation associated with rumination in major depressive disorder: a prospective observational comparative analysis of cognitive behavioral therapy and pharmacotherapy.

Translational psychiatry Aug 6, 2025
Cognitive behavioral therapy (CBT) and pharmacotherapy are primary treatments for major depressive disorder (MDD). However, their differential effects on the neural networks associated with rumination, or repetitive negative thinking, remain poorly u... read more 
Depressive Disorder, Major Magnetic Resonance Imaging Cognitive Behavioral Therapy Humans Male Prospective Studies Middle Aged Default Mode Network Antidepressive Agents Female Rumination, Cognitive Brain Nerve Net Adult

Towards interpretable emotion recognition: Identifying key features with machine learning

arXiv Aug 6, 2025
Unsupervised methods, such as wav2vec2 and HuBERT, have achieved state-of-the-art performance in audio tasks, leading to a shift away from research on interpretable features. However, the lack of interpretability in these methods limits their appli... read more 
Audio and Speech Processing Sound

Determination of high-confidence germline genetic variants in next-generation sequencing through machine learning models: an approach to reduce the burden of orthogonal confirmation.

BMC genomics Aug 6, 2025
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A workflow for statistical analysis and visualization of microbiome omics data using the R microeco package.

Nature protocols Aug 6, 2025
The increasing complexity of experimental designs and the volume of data in the microbiome field, along with the diversification of omics data types, pose substantial challenges to statistical analysis and visualization. Here we present a step-by-ste... read more 

A machine learning approach for image classification in synthetic aperture RADAR

arXiv Aug 6, 2025
We consider the problem in Synthetic Aperture RADAR (SAR) of identifying and classifying objects located on the ground by means of Convolutional Neural Networks (CNNs). Specifically, we adopt a single scattering approximation to classify the shape ... read more 
Computer Vision and Pattern Recognition Numerical Analysis Numerical Analysis

Determination of intrinsic cellular electrical and mechanical properties using micro/nano manipulation techniques.

Soft matter Aug 6, 2025
Single-mode biophysical fingerprints have specific overlap when cell heterogeneity is analyzed. The cross-sensitivity between these parameters results in significant fuzzy intervals in cell phenotype classification based on one-dimensional features, ... read more 

Isolate Trigger: Detecting and Eradicating Evade-Adaptive Backdoors

arXiv Aug 6, 2025
All current detection of backdoor attacks on deep learning models fall under the category of a non essential features(NEF), which focus on fighting against simple and efficient vertical class backdoor -- trigger is small, few and not overlapping wi... read more 
Cryptography and Security
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