Artificial Intelligence Medical Compendium

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

Showing 1,911 to 1,920 of 213,633 articles

A surrogate-assisted framework for the subject-specific scalable design of compliant prosthetic wrists.

Scientific reports
This study presents a surrogate-assisted computational framework for the scalable design of compliant prosthetic wrist joints. The framework integrates computer-aided design (CAD) parameterization, automated finite element analysis (FEA), machine-lea... read more 

misoTar: a novel approach for predicting miRNA and isomiR targets.

Scientific reports
Understanding microRNA/isomiR-mRNA interactions has long been a major challenge. Although many computational methods exist for predicting miRNA-mRNA interactions, almost all fail to account for isomiR-mRNA interactions. To bridge this gap, we develop... read more 

Harnessing data science to control non-communicable diseases in Africa: a systematic review and gap analysis.

Communications medicine
BACKGROUND: Data science methods can provide novel and pragmatic approaches for preventing and controlling non-communicable diseases (NCDs) in Africa. This study highlights current efforts, opportunities, and challenges in leveraging data science met... read more 

Engineered E. coli swarming for binary and analog input recording.

Molecular systems biology
Many bacterial species form self-organized macroscale patterns through swarming. Despite its extensive genetic tractability, Escherichia coli remains underexplored for robust, applied control of swarming. Here we develop a set of E. coli strains that... read more 

Exploring the non-linear impacts of environmental and anthropogenic factors on land surface temperature in southwestern Bangladesh using explainable AI.

Scientific reports
Land surface temperature (LST) in southwestern Bangladesh has changed rapidly in recent years due to both environmental conditions and human activities. This study examines how LST varies over space and time in the Jashore-Jhenaidah-Chuadanga region ... read more 

Athletes' action recognition and performance prediction based on TS-GCN-SAM.

Scientific reports
This study aims to meet the modern competitive sports' demand for dynamic adjustment of athletes' movements and provides a more efficient and accurate solution for athlete performance prediction. It proposes a new prediction model based on the Two-St... read more 

Enhancing out-of-hospital emergency care via lexical machine learning modeling of chief complaints.

NPJ digital medicine
Emergency medical services (EMS) professionals make high-stakes decisions in austere environments. To support out-of-hospital emergency care, we developed an AI model that leverages lexical data to predict receipt of lifesaving intervention (LSI) in ... read more 

A non-linear game for two: genetic parameters and prediction of fertilization success using Bayesian and machine learning frameworks.

Genetics, selection, evolution : GSE
Fertility is an important but often cryptic and intrinsic characteristic of domesticated animals. Predicting reproductive potential is of great importance for the industry but assessment through indirect proxies is laborious and often impractical. Am... read more 

A deep learning architecture for combining and imputing heterogeneous metabolomics datasets.

BMC bioinformatics
Public metabolomics databases offer a large number of datasets. Combined analysis of these data sets may better capture complex molecular mechanisms in diseases. However, most datasets include measurements for only a very small fraction of the known ... read more