Artificial Intelligence Medical Compendium

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

Showing 26,691 to 26,700 of 218,283 articles

Overlooked Effluent Toxicity: A Missing Link in China's Wastewater Discharge Standards.

Environmental science & technology Apr 24, 2026
Due to limitations in large-scale toxicity assessment, the actual biological toxicity of wastewater effluents remains insufficiently characterized. The nematode Caenorhabditis elegans is a well-established model organism for evaluating whole effluent... read more 

INNFusion: A Diffusion-based Blind Image Super Resolution Scheme using Reversible Degradation Process with Invertible Neural Networks.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Apr 24, 2026
Deep neural networks using generative diffusion prior have provided the state-of-the-art performances for the task of blind image super resolution. Thanks to their powerful image generation capability, these deep networks are able to produce high-qua... read more 

Rehospitalization in Preterm Infants: Machine Learning Prediction Model & Associated Risk Factors.

Neonatology Apr 24, 2026
BACKGROUND AND OBJECTIVES: Preterm birth is a major global health concern, with preterm infants (PI) at increased risk of morbidity and rehospitalization in the first year after Neonatal Intensive Care Unit (NICU) discharge. Few studies have applied ... read more 

Comparison of deep learning-based three-dimensional human pose estimation methods with motion capture for gesture research.

PloS one Apr 24, 2026
Humans often make gestures while speaking. These gestures have been extensively researched in psychology and cognitive science, revealing their functions and roles in communication. Despite being produced in three-dimensional (3D) space, gestures and... read more 

Genetic algorithm-based daily power output forecasting for energy storage power stations.

PloS one Apr 24, 2026
Accurate day-ahead power generation forecasting is crucial for improving the operational efficiency of energy storage power stations and enhancing the reliability of power grid dispatch. To address the challenges of prediction inaccuracy stemming fro... read more 

PlantaNet and PlantaNetLite: Efficient and explainable multi-crop plant disease classification via transformer benchmarking and custom lightweight CNNs.

PloS one Apr 24, 2026
Plant disease diagnosis based on visual symptoms is crucial for preventing yield loss; however, deployment in practical settings remains challenging due to inter-class similarity, background noise, and limited computational resources. This study pres... read more 

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 
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