Artificial Intelligence Medical Compendium

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

Showing 51,851 to 51,860 of 225,279 articles

Causal modeling of chronic kidney disease in a participatory framework for informing the inclusion of social drivers in health algorithms.

Journal of the American Medical Informatics Association : JAMIA Feb 10, 2026
OBJECTIVES: Incomplete or incorrect causal theories are a key source of bias in machine learning (ML) algorithms. Community-engaged methodologies provide an avenue for mitigating this bias through incorporating causal insights from community stakehol... read more 

Unsupervised Disentanglement of Brain Heterogeneity for Identifying Subtypes of Alzheimer's Disease.

IEEE transactions on bio-medical engineering Feb 10, 2026
Neuroanatomical heterogeneity in Alzheimer's disease (AD) hinders precision diagnosis and treatment, as distinct brain phenotypes may correspond to different disease subtypes. However, MRI-based subtype classifications are often confounded by co-occu... read more 

Single-Stage Lesion Identification in $^{68}$Ga-DOTATATE PET Images.

IEEE transactions on bio-medical engineering Feb 10, 2026
OBJECTIVE: Positron emission tomography (PET) is a commonly used imaging modality for assessment of neuroendocrine tumors (NETs), and lesion identification in PET images is a key step in the development of effective treatments. Deep neural networks h... read more 

Stress Detection Using Heart Rate Variability and Respiratory Signals Derived From a Single-Lead ECG.

IEEE transactions on bio-medical engineering Feb 10, 2026
Stress detection is a widely studied field due to its significant implications for mental and physical health. While multimodal approaches show promising results, they present challenges related to hardware constraints and computational requirements ... read more 

A Multiobjective Evolutionary Algorithm Based on Bipopulation With Uniform Sampling for Neural Architecture Search.

IEEE transactions on neural networks and learning systems Feb 10, 2026
Neural architecture search (NAS) automates neural network design, improving efficiency over manual approaches. However, efficiently discovering high-performance neural network architectures that simultaneously optimize multiple objectives remains a s... read more 

Deep LoRA-Unfolding Networks for Image Restoration.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 10, 2026
Deep unfolding networks (DUNs), combining conventional iterative optimization algorithms and deep neural networks into a multi-stage framework, have achieved remarkable accomplishments in Image Restoration (IR), such as spectral imaging reconstructio... read more 

AGEP_TWAS: A Deep Learning-based Framework for Predicting Gene Expression Levels in Tissues.

IEEE transactions on computational biology and bioinformatics Feb 10, 2026
Accurate prediction of gene expression levels across different tissues is of great significance in understanding the functional roles of genes in various biological processes and assisting in transcriptome-wide association studies (TWAS). Traditional... read more 

MMCL: A Multi-modal Contrastive Learning Framework for Molecular Property Prediction.

IEEE transactions on computational biology and bioinformatics Feb 10, 2026
Accurately predicting molecular properties can identify more promising drug candidates and facilitate the process of drug discovery. There are advances in methods for molecular property prediction using self-supervised learning. However, most methods... read more 

Rule-Based Protein Classification through Multi-Phase Feature Extraction Technique.

IEEE transactions on computational biology and bioinformatics Feb 10, 2026
Protein sequence classification is a fundamental step toward functional annotation and biological analysis; however, most of the existing approaches rely on computationally expensive models or flat feature integration with limited interpretability. T... read more 

Interviews with clinicians about an ambient artificial intelligence documentation platform.

Journal of the American Medical Informatics Association : JAMIA Feb 10, 2026
OBJECTIVE: Understand the qualitative impact of an ambient artificial intelligence (AI) documentation platform on clinicians' experiences and workflows. MATERIALS AND METHODS: A quality improvement (QI) qualitative study using semi-structured intervi... read more 
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