Artificial Intelligence Medical Compendium

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

Showing 57,061 to 57,070 of 227,153 articles

Automated Abdominal Aortic Calcification Scores and Atherosclerotic Cardiovascular Disease in the UK Biobank Imaging Study.

JACC. Advances
BACKGROUND: Abdominal aortic calcification (AAC) is a subclinical measure of atherosclerotic cardiovascular disease (ASCVD). AAC can be captured on lateral spine images obtained from bone density machines during routine osteoporosis screening. Identi... read more 

Use of Electrocardiograms to Identify Coronary Artery Disease: Cross-Validation of an Artificial Intelligence Model.

JACC. Advances
BACKGROUND: The current gold standard for the diagnosis of coronary artery disease (CAD) is invasive angiography; however, it is an invasive procedure. Therefore, we developed an artificial intelligence model designed to predict significant CAD from ... read more 

Integrated omics and machine learning uncover the molecular basis of environmental toxicant 6PPD-Qinduced non-obstructive azoospermia.

Ecotoxicology and environmental safety
BACKGROUND: N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine-quinone (6PPD-Q), a transformation product of tire rubber antioxidants, has been increasingly recognized as an emerging environmental contaminant with potential reproductive toxicity. Alt... read more 

Improved prediction of heavy metal concentration in typical agricultural soil in Hainan by Machine Learning method.

Ecotoxicology and environmental safety
As machine learning (ML) techniques continue to evolve, researchers are becoming more dedicated to applying these methods to model and predict heavy metals (HMs) in soil. Unfortunately, many existing studies neglect the impact of spatial stratified h... read more 

Towards sustainable desertification control: A manufacturing method for porosity-controlled upright reed sand fences.

Journal of environmental management
Porosity is a critical factor affecting the windbreak and sand-fixing performance of upright reed sand fences. However, achieving consistent porosity control is challenging due to variations in reed bundle morphology and manufacturing complexities. T... read more 

Deep learning as a refining tool for hydrodynamic model in predicting lake temperature profile: A case study in Ogouchi reservoir.

Journal of environmental management
The advent of big data has opened doors to valuable insights into water resources, harnessing its power to develop a better paradigm, made possible by a combination of process-based and data-driven models. This coupling has the potential to increase ... read more 

Evolution of root nodule symbiosis via paleopolyploidy and modular pathway rewiring.

Cell host & microbe
The evolution of root nodule symbiosis (RNS), a key innovation for plant nitrogen acquisition, has long been studied but lacks a mechanistic, gene-level evolutionary framework. Here, we reconstruct the gene regulatory network underlying RNS (GRN-RNS)... read more 

Molecular features of human pathological tau distinguish tauopathy-associated dementias.

Cell
In Alzheimer's disease (AD), pathological tau protein shows a progressive accumulation of post-translational modifications (PTMs), reflecting disease severity, progression, and prion-like activity. Although many neurodegenerative diseases with dement... read more 

Comparison of the accuracy of Robotic arm and Dynamic Navigation in the placement of mandibular dental implants: An in-vitro study.

Journal of dentistry
OBJECTIVE: To compare the spatial accuracy between Robotic Computer-Assisted implant Surgery (R-CAIS) and Dynamic Computer-Assisted Implant Surgery (D-CAIS) for placement of dental implants. METHODS: The study was carried out on twelve polyurethane m... read more 

Artificial intelligence and multi-omics convergence in breast cancer: Revolutionizing diagnosis, prognostication, and precision oncology.

Critical reviews in oncology/hematology
Breast cancer (BC) is a highly heterogeneous malignancy and remains a major cause of cancer-related mortality among women worldwide. Advances in multi-omics profiling spanning genomics, transcriptomics, epigenomics, proteomics, and metabolomics have ... read more