Artificial Intelligence Medical Compendium

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

Showing 51,931 to 51,940 of 225,279 articles

Enhancing graduate education assessment: a machine learning-based classification of academic performance in medical students.

BMC medical education
BACKGROUND: Accurately predicting academic performance among medical postgraduate students is crucial for understanding educational outcomes and providing effective early academic guidance. Traditional statistical approaches often struggle to balance... read more 

Dissecting the genetic architecture of seed-related traits in Brassica napus by integrating multi-omics analysis and VIS-NIR hyperspectral imaging.

Genome biology
BACKGROUND: Brassica napus (B. napus) is globally important oilseed crop, yet traditional approaches for phenotyping of seed traits are labor-intensive and destructive. RESULTS: Here, we establish a non-destructive analytical framework integrating hy... read more 

Multiscale Machine Learning Prediction of Infrared Spectra of Solvated Molecules.

Journal of chemical theory and computation
We introduce a multiscale machine-learning molecular dynamics (MD) strategy for simulating infrared spectra of solvated molecules. Our approach integrates an efficient sampling of environmental configurations with a hierarchical model that predicts f... read more 

XL-MSDigger: a deep learning-based, versatile solution for cross-linking mass spectrometry.

Nature communications
Cross-linking mass spectrometry (XL-MS) technology plays an important role in protein structure and protein-protein interaction (PPI) studies. However, there are serious shortcomings in the data processing and analysis methods of XL-MS that limit its... read more 

Novel convolutional neural network for bacterial identification of confocal microscopic datasets.

Scientific reports
Artificial intelligence (AI), complex mathematical algorithms, is currently employed across various fields to perform tasks quickly and effectively. In this study, a novel deep-learning algorithm named (CM-Net) was developed to classify biological da... read more