Artificial Intelligence Medical Compendium

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

Showing 28,421 to 28,430 of 219,260 articles

Probabilistic Forecasting for Coarse-Grained Molecular Dynamics.

Journal of chemical theory and computation Apr 21, 2026
Coarse-grained molecular dynamics enables access to long length and time scales but often fails to reproduce atomistic kinetics when memory effects and slow collective motions are important. We introduce Probabilistic Forecasting for Coarse-Graining ... read more 

Enhancing Target Recognition Performance in SSVEP-Based Brain-Computer Interfaces via Deep Neural Networks with Pyramid Squeeze Attention.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Apr 21, 2026
Steady state visual evoked potential (SSVEP)-based brain-computer interfaces have been widely studied for their fast response speeds and high information transfer rates. However, how to fully utilize the potential information of existing subjects to ... read more 

APSevLM: Acute Pancreatitis Severity Language Model.

IEEE journal of biomedical and health informatics Apr 21, 2026
Approximately one-fifth of patients with acute pancreatitis (AP) develop severe forms, which are associated with high mortality rates, making early prediction of severity crucial for effective patient management. In this study, we present APSevLM (Ac... read more 

A Prompt-Guided Vision-Language Framework for Interpretable and Region-Aware Disease Diagnosis in Chest X-rays.

IEEE journal of biomedical and health informatics Apr 21, 2026
Effective interpretation of chest X-rays requires a tightly integrated process of visual analysis, diagnostic reasoning, and structured reporting. Yet, most machine learning systems handle these steps in isolation. Visual encoders are typically train... read more 

Fall Detection Based on Computer Vision: A Systematic Mapping Study.

IEEE journal of biomedical and health informatics Apr 21, 2026
Falls are a leading cause of injury and mortality among older adults, motivating growing interest in video-based computer vision (CV) fall detection systems. This study presents a systematic mapping of vision-based fall detection in video, synthesizi... read more 

Multi-Beholder: Biomarker Prediction for Low-Grade Glioma with Multiple Instance Learning and One-Class Classification.

IEEE transactions on computational biology and bioinformatics Apr 21, 2026
Biomarker detection is an indispensable part of the diagnosis and treatment of low-grade glioma (LGG). However, current LGG biomarker detection methods rely on expensive and complex molecular genetic testing, for which professionals are required to a... read more 

Use of AI to Predict and Support Medication Adherence in Patients With Breast Cancer: Systematic Review.

JMIR cancer Apr 21, 2026
BACKGROUND: Oral medications are commonly used in the treatment of breast cancer (BC), despite high rates of nonadherence. As adherence is fundamental for optimal treatment, finding ways to effectively improve it is important. Artificial intelligence... read more 

Exploring Information Access in Aging Populations and Those With Dementia and Mild Cognitive Impairment in the United Kingdom: Survey and Focus Group Study.

JMIR aging Apr 21, 2026
BACKGROUND: With the growing aging population, technology that supports independent living is increasingly important. Web search systems are well established, whereas generative artificial intelligence (Gen-AI; eg, ChatGPT) represents a newer, adapti... read more 

Hydrolysis Reaction Rate Prediction Using Machine Learning: WaterDRoP.

Environmental science & technology Apr 21, 2026
To enable sustainable chemical design, there is a need for the capability to predict the degradation potential of proposed structures not yet produced and for which experimental data are unavailable. Hydrolysis is a key process impacting contaminant ... read more 

Integrating Arrhenius Constraints with Lineage-Aware Meta-Learning for Few-Shot Prediction of Temperature-Dependent Enzyme Kinetics.

Journal of chemical information and modeling Apr 21, 2026
The engineering of biocatalysts requires a precise understanding of the temperature-dependent catalytic turnover number (kcat), which governs the tradeoff between activity and thermal stability. However, kinetic landscape prediction is challenged by ... read more 
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