AI Medical Compendium Topic

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

Databases as Topic

Showing 131 to 140 of 152 articles

Clear Filters

Comparison of a semi-automatic annotation tool and a natural language processing application for the generation of clinical statement entries.

Journal of the American Medical Informatics Association : JAMIA
BACKGROUND AND OBJECTIVE: Electronic medical records with encoded entries should enhance the semantic interoperability of document exchange. However, it remains a challenge to encode the narrative concept and to transform the coded concepts into a st...

A machine learning approach to create blocking criteria for record linkage.

Health care management science
Record linkage, a part of data cleaning, is recognized as one of most expensive steps in data warehousing. Most record linkage (RL) systems employ a strategy of using blocking filters to reduce the number of pairs to be matched. A blocking filter con...

Toward a view-oriented approach for aligning RDF-based biomedical repositories.

Methods of information in medicine
INTRODUCTION: This article is part of the Focus Theme of METHODS of Information in Medicine on "Managing Interoperability and Complexity in Health Systems".

DGCL: dual-graph neural networks contrastive learning for molecular property prediction.

Briefings in bioinformatics
In this paper, we propose DGCL, a dual-graph neural networks (GNNs)-based contrastive learning (CL) integrated with mixed molecular fingerprints (MFPs) for molecular property prediction. The DGCL-MFP method contains two stages. In the first pretraini...

The application of artificial intelligence and data integration in COVID-19 studies: a scoping review.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To summarize how artificial intelligence (AI) is being applied in COVID-19 research and determine whether these AI applications integrated heterogenous data from different sources for modeling.

The emergence of new trends in clinical laboratory diagnosis.

Saudi medical journal
Diagnostic processes typically rely on traditional and laborious methods, that are prone to human error, resulting in frequent misdiagnosis of diseases. Computational approaches are being increasingly used for more precise diagnosis of the clinical p...