Artificial Intelligence Medical Compendium

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

Showing 40,901 to 40,910 of 223,737 articles

Development and Validation of a Machine Learning-Based Nomogram for Predicting Severe Pneumocystis jirovecii Pneumonia in Kidney Transplant Recipients.

Annals of transplantation
BACKGROUND Pneumocystis jirovecii pneumonia (PJP) is a life-threatening opportunistic infection in kidney transplant recipients (KTRs). Early identification of patients liable to progress to severe disease is critical for improving prognosis. This st... read more 

Machine Learning-Enhanced Raman Spectroscopy for Microfiber Detection: From Model Development to Coastal Investigation.

Analytical chemistry
Microfibers are recognized as the most prevalent form of microplastics, with a widespread distribution across various ecosystems. The distinctive morphology of microfibers provides additional insights into their detection. In contrast to most studies... read more 

HGT-PepPI: A Heterogeneous Graph-Based Framework Leveraging Pragmatic Analysis for Peptide-Protein Interaction Prediction.

Journal of chemical information and modeling
Peptide-Protein Interactions (PepPIs) are essential to a wide range of biological processes, including gene regulation, cellular homeostasis, and metabolic modulation. Researchers have developed several computational deep learning predictors based on... read more 

Artificial Intelligence Technologies in Nursing Clinical Decision-Making: An Umbrella Review.

Journal of advanced nursing
AIM: To describe contemporary peer-reviewed literature on artificial intelligence in nurses' clinical decision-making. METHODS: An umbrella review of literature reviews. DATA SOURCES: Four major databases were searched for reviews published between 2... read more 

Innovative integration of molecular docking and machine learning for drug discovery: from virtual screening to nanomolar inhibitors.

Chemical communications (Cambridge, England)
This review highlights our group's systematic approach to integrating molecular docking, pharmacophore modeling, and machine learning methodologies for the rational discovery of bioactive leads. We describe innovative strategies including docking-bas... read more 

Artificial intelligence iterative reconstruction in lower extremity computed tomography angiography (CTA) of diabetic patients: Improved visualization of distal and collateral arteries.

Acta radiologica (Stockholm, Sweden : 1987)
BackgroundThe impact of deep learning (DL)-based computed tomography (CT) reconstruction on the visualization of distal and collateral arteries in diabetic lower extremity CT angiography (CTA) remains unclear.PurposeTo investigate the performance of ... read more