Artificial Intelligence Medical Compendium

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

Showing 51,731 to 51,740 of 225,182 articles

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 

Sharper than human eyes? A systematic review and meta-analysis of machine learning for retinal detachment detection.

European journal of ophthalmology Feb 10, 2026
Retinal detachment (RD) is a sight-threatening condition requiring rapid diagnosis to prevent vision loss. Artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), offers potential for improving diagnostic accuracy in ... read more 

Identifying Post-Surgical Recurrence Subtype of T1 Stage Colorectal Cancer by Machine Learning.

Digestion Feb 10, 2026
INTRODUCTION: Traditional risk stratification heavily relies on expert judgment and manually established thresholds. This study aims to automatically identify subtypes in the patients of T1-stage colorectal cancer with distinct clinicopathologic char... read more 

Beyond traditional stimuli: Validating AI-generated images for eliciting negative emotions in affect research.

PloS one Feb 10, 2026
Studies of emotion often rely on standardized stimulus sets to elicit affective responses. Although established databases provide images with normative valence and arousal ratings, selecting suitable stimuli can be difficult when experiments require ... read more 

Integrative bioinformatics and experiments identify RIBC2 as a key regulator in the esophageal cancer.

PloS one Feb 10, 2026
Early detection of esophageal cancer (EC) remains a major challenge due to the limited understanding of its initial molecular alterations. Therefore, this study aimed to identify the key molecular drivers involved in EC carcinogenesis. Human normal e... read more 
Popular Topics
Recent Journals