Artificial Intelligence Medical Compendium

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

Showing 48,821 to 48,830 of 224,513 articles

Boosting Crystalline Property Prediction through Dynamical Feature Updating and Wavelet-Denoised Features: A New Deep Learning Model.

The journal of physical chemistry letters
Graph neural networks (GNNs) inherently excel at representing atomistic material, therefore enabling predictions of properties with high accuracy with embedded descriptors. Approaching to accurate prediction of a variety of physical properties of div... read more 

Intelligent identification and targeted intervention of GRP75-caused drug resistant hepatocellular carcinoma, a study based on radiomics, machine learning, and molecular pharmacology.

International journal of surgery (London, England)
BACKGROUND: Tumor heterogeneity mediated drug resistance was a core clinical challenge to improve the prognosis of patients with advanced hepatocellular carcinoma (HCC). Glucose-regulated protein 75 (GRP75) was a key molecular target driving this het... read more 

Development of an artificial intelligence platform to improve compliance in periodontal maintenance patients: A proof-of-concept study.

Journal of periodontology
BACKGROUND: The purpose of this study is to report on the development of an artificial intelligence (AI) model designed to improve compliance in periodontal maintenance patients. METHODS: Fifty adult patients (32 females and 18 males; aged 25 to 78 y... read more 

DeepFit: Physically and Chemically Informed XAS-Structure Fitting Made Simple.

The journal of physical chemistry letters
X-ray absorption spectroscopy (XAS) reveals local structures in catalysts and materials under operando conditions but faces ill-posed challenges, with high computational costs and ambiguous solutions. DeepFit pioneers a universal deep learning remedy... read more 

Scale-Dependent Heterogeneity Drives Microbial Insurance in Phyllosphere Algal-Bacterial Networks during Lake Eutrophication.

Environmental science & technology
The algal-bacterial symbiotic communities within the submerged macrophyte phyllosphere exhibit significant potential for lake restoration. However, their response mechanisms to environmental heterogeneity remain unclear, as traditional experiments or... read more 

Assessment of Predictive Factors That Shorten Duration of Treatment in Patients With Multiple Myeloma Using AI: Real-World Longitudinal Study Using Data From Medical Data Vision Claims Database.

JMIR cancer
BACKGROUND: With the availability of newer therapies, the duration of therapy (DoT) shortens with each increasing line of treatment in Japanese patients with multiple myeloma (MM). OBJECTIVE: This study aimed to identify factors that shorten DoT in p... read more 

Machine Learning for Predicting Stroke Risk Stratification Using Multiomics Data: Systematic Review.

Journal of medical Internet research
BACKGROUND: Stroke is a complex, multidimensional disorder influenced by interacting inflammatory, immune, coagulation, endothelial, and metabolic pathways. Single-omics approaches seldom capture this complexity, whereas multiomics techniques provide... read more 

Automated Risk Assessment of Opioid Use: Analysis Using Pre-Trained Transformers on Social Media Data.

JMIR infodemiology
BACKGROUND: The illegal use of opioids has emerged as a major global public health concern, contributing to widespread addiction and a growing number of overdose-related deaths. In response, the US federal government has invested billions of dollars ... read more 

Designing Versatile p-d Dual-Atom Catalysts via Frontier Orbital Engineering for Efficient Photocatalytic Urea Production.

Journal of the American Chemical Society
Constructing multimetal centers on carbon-based substrates is a promising strategy to enhance C-N coupling for efficient urea synthesis, while the underlying design principles, particularly how metal-metal and metal-substrate interactions govern reac... read more 

Advances in Predicting Postoperative Atrial Fibrillation: A Narrative Review of the Current Literature.

Cardiology in review
Postoperative atrial fibrillation (POAF) is a common adverse event after cardiac surgery. It is associated with increased risk of both morbidity and mortality. Predictive modalities that stratify patients vulnerable to POAF have demonstrated both poo... read more