Artificial Intelligence Medical Compendium

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

Showing 50,471 to 50,480 of 224,814 articles

Deep learning-based cerebellar segmentation on T2-weighted fluid-attenuated inversion recovery magnetic resonance imaging for detecting cerebellar hypoplasia/atrophy in infants.

Pediatric radiology
BACKGROUND: Accurate measurement of cerebellar volume is crucial for diagnosing cerebellar atrophy or hypoplasia in infants. Although deep learning has achieved some success in cerebellar segmentation, existing studies primarily focus on adults. Chal... read more 

Dexpression recognition from EEG based on nonlinear analysis and adaptive feature fusion.

Computer methods in biomechanics and biomedical engineering
Machine learning techniques have recently shown significant promise in electroencephalograph (EEG)-based depression recognition. However, existing methods often rely on simple feature concatenation to fuse information from multiple perspectives, fail... read more 

Association of wearable-sensor derived gait measures with cartilage damage over 2 years in the Multicenter Osteoarthritis Study.

Arthritis care & research
PURPOSE: Gait affects knee loading. Modifying gait could reduce load and protect against cartilage loss. Our objective is to look for modifiable gait parameters and determine their relation with worsening cartilage damage. METHODS: We studied partici... read more 

Microplastics on the frontline: causes, strategies to combat pollution and protect health with advanced bioremediation-a review.

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering
Microplastic (MP) pollution is a growing global concern with serious implications for ecosystems and human health. The present review provides a comprehensive analysis of the occurrence, mobility, and toxicological impacts of MPs, focusing on their r... read more 

Toward Doubly Local Double Hybrid Functionals Using Neural-Network Local Mixing Functions.

Journal of chemical theory and computation
The first optimization and evaluation of "doubly local double hybrid" (DLDH) functionals is reported. DLDHs provide a position-dependent mixing not only of exact and semi-local exchange but at the same time also of second-order perturbational (PT2) a... read more 

Feasibility of Integrating Urinary Proteomics and Machine Learning for Diagnosing Diabetic Nephropathy.

Journal of proteome research
Diabetic nephropathy (DN) represents the predominant microvascular complication associated with diabetes mellitus; however, existing diagnostic techniques are inadequate. This study evaluated candidate urinary protein biomarkers for diagnosing DN. A ... read more 

Machine Learning and Computer Simulation Disentangle the Fuzzy Inhibitor Binding by Hsp90.

Journal of chemical theory and computation
Heat shock protein 90 (Hsp90) is a key cancer drug target, yet the highly flexible N-terminal ATP-binding pocket yields seemingly conflicting crystallographic and NMR inhibitor-binding models, complicating rational design. Here we integrate >100 μs o... read more 

Robotic-assisted versus conventional total knee arthroplasty for treating osteoarthritis.

The Cochrane database of systematic reviews
This is a protocol for a Cochrane Review (intervention). The objectives are as follows: To assess the benefits and harms of robotic-assisted versus conventional total knee arthroplasty for the treatment of osteoarthritis. read more 

CellMate─A Deep Learning-Assisted Single-Cell Data Processing Platform.

Analytical chemistry
Mass spectrometry-based single-cell metabolomics (SCM) reveals the inherent heterogeneity of individual cells among seemingly identical cell types. Fast-scanning and high-resolving mass analyzers provide the sensitivity and specificity required to pr... read more