Artificial Intelligence Medical Compendium

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

Showing 58,041 to 58,050 of 227,634 articles

Mechanoresponsive Biomaterials: Principles, Mechanisms, and Applications.

ACS biomaterials science & engineering
Mechanoresponsive biomaterials are a revolutionary class of materials designed to respond dynamically to mechanical stimuli, providing tissue engineering and regenerative medicine with precise control over biological processes. Through processes incl... read more 

Evaluation of a machine learning system for genomic antimicrobial susceptibility determination on a clinically representative test set.

Microbiology spectrum
UNLABELLED: Next-generation sequencing is anticipated to transform infectious disease treatment by enabling faster diagnosis, yet a clinical-grade method for genomic AST determination is still lacking. We assessed the accuracy of Keynome gAST, a k-me... read more 

Atomic Structure Modulations in Ion-Exchanged Hydroxyapatite Investigated by HRTEM and Single Image Denoising.

Nano letters
Hydroxyapatite (HAP) is widely utilized in various applications, where its properties are strongly regulated by ionic substitution. However, the atomic-scale structural origins of such modulation remain poorly understood. Although high-resolution tra... read more 

Automatic detection and measurement system for aortic aneurysms using deep learning-based artificial intelligence.

The international journal of cardiovascular imaging
This study evaluated the performance of a deep learning-based artificial intelligence (DLAI) system for detecting fusiform aortic aneurysms and measuring the diameters of the entire aorta on non-contrast CT images.We retrospectively collected 160 non... read more 

Potential Targets in Nonalcoholic Steatohepatitis Based on Bioinformatics Analysis and Machine Learning Strategies.

Biochemical genetics
NASH poses a significant threat to human health and is recognized as the leading contributor to HCC. In this study, we leveraged publicly accessible datasets to identify novel differentially expressed genes that may serve as potential targets in NASH... read more 

Benchmarking Density Functional Theory for Accurate Calculation of Nitride Band Gaps.

Journal of chemical theory and computation
We benchmark exchange-correlation functionals for the calculation of fundamental band gaps of inorganic nitrides. These include conventional functionals such as the local density approximation (LDA), the generalized-gradient (Perdew-Burke-Ernzerhof) ... read more 

Radiomics++: Review of Habitat Imaging Analysis for Decoding Tumor Heterogeneity.

Annual review of biomedical engineering
Tumors display genomic and phenotypic heterogeneity, which holds prognostic significance and may influence therapy response. Radiographic imaging modalities, such as computed tomography, magnetic resonance imaging, nuclear medicine techniques, and ul... read more 

Optimizing Prediction of Chemical Bonds in Interfacial Dynamics through Local Uncertainty Estimates with Neural Network Ensembles.

Journal of chemical information and modeling
We present a framework for data-efficient training of machine-learning interatomic potentials for interfacial chemistry, especially heterogeneous catalytic systems. We establish strategies for density functional theory training data generation consis... read more 

AI-Assisted Physics-Informed Predictions of Degradation Behavior of Polymeric Anion Exchange Membranes.

The journal of physical chemistry. B
The global transition to hydrogen-based energy infrastructures faces significant hurdles. Chief among these are the high costs and sustainability issues associated with acid-based proton exchange membrane fuel cells. Anion exchange membrane (AEM) fue... read more