Artificial Intelligence Medical Compendium

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

Showing 26,991 to 27,000 of 218,547 articles

Hierarchical coordinated scheduling algorithm for reactive power and voltage in cross-regional power grids based on multi-agent reinforcement learning.

PloS one Apr 24, 2026
To address the challenges of strong dynamic coupling, action space dimension explosion, and voltage imbalance in reactive power and voltage scheduling of cross-regional power grids, this paper proposes a hierarchical coordinated scheduling method bas... read more 

Unpacking the dual psychological paths of employee-AI collaboration on creativity: The role of proactive behavior.

PloS one Apr 24, 2026
The deep integration of artificial intelligence (AI) into organizational settings has significantly transformed employees' work patterns, underscoring the need to investigate the mechanisms through which employee-AI collaboration influences creativit... read more 

Predicting multiple sclerosis from radiologically isolated syndrome using generative artificial intelligence.

PLOS digital health Apr 24, 2026
Radiologically Isolated Syndrome (RIS) is characterized by incidental MRI findings indicative of multiple sclerosis (MS) in asymptomatic individuals. Factors such as younger age, positive cerebrospinal fluid biomarkers, and specific lesion locations ... read more 

Enhanced rock recognition via EVSS-integrated YOLO11: A deep learning approach for precise geological classification.

PloS one Apr 24, 2026
Rock identification plays a fundamental role in geological work, particularly in resource reservoir characterization, stratigraphic division, engineering stability assessment, and hazard prevention. However, traditional manual identification approach... read more 

Machine learning identifies pupil size and corneal thickness as key predictors of axial elongation rate.

PloS one Apr 24, 2026
PURPOSE: This study aimed to develop a machine learning-based prediction model for myopia progression using ocular biometric parameters to provide an objective assessment tool for clinical practice. METHODS: A retrospective analysis was conducted on ... read more 

Resilient road safety modeling through spatially disaggregated explainable AI.

PloS one Apr 24, 2026
Understanding spatial disparities in traffic accident severity is essential not only for improving transport safety but also for advancing sustainable and inclusive transportation systems. Road crashes represent a persistent public health and equity ... read more 

The application of large language models in meteorology graduate research: current status, impact, and prospects.

PloS one Apr 24, 2026
With the rapid development of generative artificial intelligence, large language models (LLMs) have gradually integrated into various fields, demonstrating significant potential, particularly in meteorological research. This study explores the curren... read more 

Narrowing down the cause of the hard-sphere nucleation discrepancy: The free energy of precritical nuclei is consistent with predictions.

Science advances Apr 24, 2026
Predicting the rate of crystal nucleation is among the most substantial long-standing challenges in condensed matter. In the system most studied (hard-sphere colloids), the discrepancy between experiments and computer simulations is more than 10 orde... read more 

Probing the Specificity of Fluorescent Deoxyribozymes Using Single-Step Selections and Machine Learning.

ACS chemical biology Apr 24, 2026
The ability of proteins and nucleic acids to form specific binding sites for ligands is critical for biological function, and methods to modulate biochemical specificity are important for fields such as enzyme engineering and drug design. Here, we sy... read more 

Deep Learning Model Using Transfer Learning for Detecting Left Ventricular Systolic Dysfunction: Retrospective Algorithm Development and Validation Study.

JMIR medical informatics Apr 24, 2026
BACKGROUND: Artificial intelligence-augmented electrocardiogram (AI-ECG) models for detecting left ventricular systolic dysfunction (LVSD) often exhibit degraded performance in patients with comorbidities. OBJECTIVE: This study aimed to introduce and... read more 
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