Artificial Intelligence Medical Compendium

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

Showing 26,981 to 26,990 of 218,547 articles

Metabolomic analysis for diagnosis of oral squamous cell carcinoma using machine learning.

Discover oncology Apr 24, 2026
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Time for a new category: "acute-on-chronic" hypertensive target organ damage.

Expert review of cardiovascular therapy Apr 24, 2026
INTRODUCTION: The aims of the paper are: 1) To analyze the evolution of understanding of hypertensive target organ damages (TODs)); 2) To see if the concept of 'acute-on-chronic TOD' is commented so far, and to provide rationale for its use. AREAS CO... read more 

Machine learning multiscale collective cell dynamics: From single-cell characterization to multicellular monolayer modeling.

Proceedings of the National Academy of Sciences of the United States of America Apr 24, 2026
Collective cell dynamics are fundamental to numerous physiological processes, including embryo development, tissue morphogenesis, immune response, and disease progression. Accurately modeling these dynamics across scales remains challenging, as tradi... read more 

Neural reservoir control of a bio-hybrid soft arm.

Proceedings of the National Academy of Sciences of the United States of America Apr 24, 2026
A long-standing engineering problem, the control of soft robots is difficult because of their highly nonlinear, heterogeneous, anisotropic, and distributed nature. Here, bridging engineering and biology, neural reservoirs are employed for the dynamic... read more 

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 
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