Artificial Intelligence Medical Compendium

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

Showing 52,811 to 52,820 of 225,341 articles

Integrating quantity-intensity relationships and machine learning to assess potassium dynamics and plant uptake in calcareous soils of India.

Environmental geochemistry and health
The amount of potassium (K⁺) that plants can use might not be fully shown by exchangeable potassium numbers, since this method doesn't take into account the effect of non-exchangeable potassium (NEK). K⁺ availability and release in soils can be asses... read more 

MetaChest: generalized few-shot learning of pathologies from chest X-rays.

Visual computing for industry, biomedicine, and art
The limited availability of annotated data presents a major challenge in applying deep learning methods to medical image analysis. Few-shot learning methods aim to recognize new classes from only a few labeled examples. These methods are typically in... read more 

Mass spectrometry-based human spatial omics: fundamentals, innovations, and applications.

Journal of biomedical science
Mass spectrometry-based spatial omics is a powerful approach for visualizing the spatial organization of proteins, metabolites, lipids, and other biomolecules in situ, combining the molecular depth of mass spectrometry with spatially resolved imaging... read more 

FungiGuard: identification of plant antifungal peptides with artificial intelligence.

Genome biology
Antifungal peptides (AFPs) are crucial for plant defense against biotic stress. Yet, no artificial intelligence tool specifically classifies plant AFPs. To fill this gap, we develop FungiGuard, which integrates Random Forest, Long Short-Term Memory, ... read more 

Machine Learning Models for Posttransplant Lymphoproliferative Disorder (PTLD) Risk Prediction in Thoracic Transplantation.

ASAIO journal (American Society for Artificial Internal Organs : 1992)
Posttransplant lymphoproliferative disorder (PTLD) is the second most common malignancy in thoracic transplant recipients and is associated with poor survival. Accurate risk prediction is essential for prevention and management. Adult (≥18 years) hea... read more 

Expert Consensus on the Artificial Intelligence Proficiency Competency List and Assessment Framework for Medical Students (2025 Edition).

Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae
To cultivate composite medical professionals capable of adapting to the development of intelligent healthcare,this consensus is grounded in the competency-based medical education,integrating the competency model and Miller's pyramid of clinical compe... read more 

Quantitative Real-Time MRI for the Assessment of Gastric Motility.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Current reference standards for measuring gastric emptying and motility are not considered optimal due to the time required, ionizing radiation, invasiveness, and spatial resolution. PURPOSE: To assess gastric motility using novel real-ti... read more 

Inverse Molecular Design for the Discovery of Organic Energy Transfer Photocatalysts: Bridging Global and Local Chemical Space Exploration.

Journal of the American Chemical Society
The discovery of new organic photocatalysts (PCs) for energy transfer (EnT) catalysis remains a significant challenge, largely due to the vast and underexplored chemical space and the delicate balance of the photocatalytic properties. While transitio... read more 

Artificial Intelligence Platform EnzySFC for Enzyme Screening and Functional Conversion: Completely Redirecting Nitrilase to Nitrile Hydratase Function.

Journal of agricultural and food chemistry
Catalytic promiscuity provides fundamental insights into enzyme evolution. To address the multiobjective challenges in discovering and evolving promiscuous activities, we developed EnzySFC, an AI-assisted platform that combines de novo enzyme discove... read more