Artificial Intelligence Medical Compendium

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

Showing 2,591 to 2,600 of 202,598 articles

Deep learning in image forgery: A systematic review for risk of bias (RoB).

Journal of forensic sciences Jun 4, 2026
Image forgery (IF) is a critical issue that can lead to the misinterpretation of visual information. Conventional strategies for IF detection are primarily manual feature-based and therefore require further analysis. Artificial intelligence (AI) has ... read more 

Predicting Enhancer-Promoter Interactions Using a Stacking-Based Ensemble Strategy.

Bioinformatics (Oxford, England) Jun 4, 2026
MOTIVATION: Enhancer-promoter interactions (EPIs) are essential for gene regulation and disease progression. Recent studies have shown that distal enhancers can regulate target genes through interactions with nearby promoters, providing important ins... read more 

A unified multimodal model for generalizable zero-shot and supervised protein function prediction.

Bioinformatics (Oxford, England) Jun 4, 2026
MOTIVATION: Predicting protein function is a fundamental and challenging task that requires integrating diverse biological data modalities to capture complex functional relationships. Traditional machine learning methods often rely on single modaliti... read more 

Machine learning-guided multi-omics suggests iron-dependent hormonal signaling drives root morphological plasticity in wheat under temperature stress.

The New phytologist Jun 4, 2026
Root plasticity is crucial for crop survival under climate change. However, the coordinated regulatory network between metabolic disturbances and hormonal signaling that drives morphological adaptation under temperature fluctuations remains unclear. ... read more 

A pH-Responsive Antimicrobial Peptide Coating with Efficient Antibacterial Activity and Preserved Oral Microbiota Homeostasis during Clear Aligner Treatment.

ACS applied materials & interfaces Jun 4, 2026
Bacterial adhesion and biofilm formation pose significant clinical challenges in clear aligner therapy, adversely affecting both oral health and aesthetics. In this study, a machine learning-driven strategy was used to develop a novel antimicrobial p... read more 

Artificial Intelligence Policies in Human Anatomy Journals: A Comparative Analysis and Recommendations.

Clinical anatomy (New York, N.Y.) Jun 4, 2026
Professional organizations in human anatomy have not yet issued guidance on the use of artificial intelligence (AI) in scholarship, leaving decisions about its permissibility to individual journals and publishers. To date, however, journal and publis... read more 

On the training of physics-informed neural operators for solving parametric partial differential equations

arXiv Jun 4, 2026
Physics-informed neural operators (PINOs) aim to learn solution operators for partial differential equations by using the governing physics as supervision, rather than relying solely on paired input-output simulation data. By incorporating physical c... read more 
Machine Learning physics.comp-ph

RQUL-UIE: Revitalizing Quality-Unstable Labels for Underwater Image Enhancement via In-Dataset Self-Supervision

arXiv Jun 4, 2026
Underwater Image Enhancement (UIE) is essential for mitigating degradations caused by water medium. Although learning-based methods have advanced significantly, most rely on paired datasets with unstable label quality, which bottlenecks model perform... read more 
Computer Vision and Pattern Recognition

Adversarial Attacks Already Tell the Answer: Directional Bias-Guided Test-time Defense for Vision-Language Models

arXiv Jun 4, 2026
Vision-Language Models (VLMs), such as CLIP, have shown strong zero-shot generalization but remain highly vulnerable to adversarial perturbations, posing serious risks in real-world applications. Test-time defenses for VLMs have recently emerged as a... read more 
Computer Vision and Pattern Recognition

A Machine Learning-Based Framework for Discovering Huntington's Disease Stages: Integrating Graph Representation Learning and clustering to Uncover Progression Dynamics in Longitudinal Enroll-HD Dataset

arXiv Jun 4, 2026
Huntington's disease (HD) is a progressive brain disorder that gradually affects movement, cognitive function, and behavior. Identifying the stage of the disease accurately and consistently is important for understanding its course, grouping patients... read more 
Machine Learning
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