Artificial Intelligence Medical Compendium

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

Showing 49,191 to 49,200 of 224,513 articles

Rational Construction of a Cu-Cu2O-CuHCF Heterojunction Interface for High-Performance Potassium-Ion Sensing.

ACS applied materials & interfaces
The deployment of potassium ion (K+) sensors in demanding environments, such as marine resource utilization, energy storage systems, and industrial processes, is severely limited by the thermal instability of state-of-the-art sensing materials. Tradi... read more 

Tip of the Spear: The Cardiovascular Profession in the Age of AI.

Journal of the American College of Cardiology
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Adaptive exploration strategy in reinforcement learning based on Q-values and environmental cognition.

Neural networks : the official journal of the International Neural Network Society
Reinforcement learning has achieved strong results across diverse sequential decision making problems, but balancing exploration and exploitation to avoid local optima remains a core challenge. Many methods rely on a single signal, such as visitation... read more 

Honey microbiome as a source of bioactive metabolites: the role of the microorganisms and the influence of physicochemical parameters.

Journal of chromatography. A
Beyond its nutritional and therapeutic properties, honey contains a unique microbiome that may also function as an additional active component. The composition and activity of the microbiome depend on physicochemical parameters such as sugar profile,... read more 

Leveraging deep learning and spectral information for enhanced variety identification of safflower seeds.

Food chemistry
To achieve rapid and non-destructive identification of safflower seeds, a qualitative identification model was constructed based on near-infrared spectroscopy (NIRS) combined with chemometric methods including principal component analysis (PCA), part... read more 

Influence of deep learning image reconstruction and adaptive statistical iterative reconstruction-V on automated Alberta stroke program early CT score- evaluation.

Neuroradiology
PURPOSE: The Alberta Stroke Program Early CT Score (ASPECTS) and advances in CT reconstruction play important roles in the neurodiagnostic workflow. This study examines the effect of these reconstruction techniques on automated ASPECTS. METHODS: In t... read more 

Lesion-level dual-tracer PET biomarkers predict prognosis in multiple myeloma treated with CXCR4-directed radiopharmaceutical therapy.

European journal of nuclear medicine and molecular imaging
BACKGROUND: C-X-C motif chemokine receptor 4 (CXCR4)-directed radiopharmaceutical therapy (RPT) represents a promising option for hematologic malignancies. Nevertheless, responses in relapsed and refractory (r/r) multiple myeloma (MM) are heterogenou... read more 

Coupling Remote Sensing and Artificial Intelligence: Mapping Hydrological Variables with GEE and Predicting Surface-water Extent with Neural Networks.

Environmental management
Managing water resources in water-scarce regions requires rigorous monitoring and reliable forecasting. To address this, we developed RSAI (Remote-Sensing-Artificial-Intelligence), a reproducible computational workflow that couples Google Earth Engin... read more 

An odyssey of monoclonal gammopathies: focusing on precursors and the progression from MGUS and SMM to multiple Myeloma, with a brief overview of novel therapeutic strategies.

Clinical and experimental medicine
Monoclonal gammopathies span a continuum from monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM) to overt multiple myeloma (MM). This gradual clonal evolution is driven by primary cytogenetic lesions, seco... read more