Artificial Intelligence Medical Compendium

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

Showing 39,651 to 39,660 of 223,737 articles

Compressed deepfake detection via GA-LASSO selection of deep features and machine learning models.

Scientific reports
In an era of advanced synthetic media, deepfake detection is challenged by high-dimensional feature spaces, compression artifacts, and poor generalization. This paper proposes a hybrid feature-selection framework combining genetic algorithms (GA) wit... read more 

Multidimensional data analysis and classification using SMIAL.

Communications biology
Label-free imaging enables multidimensional data acquisition across spectral and temporal domains and is increasingly used in life sciences. However, users working with multidimensional label-free data often lack the programming expertise needed to b... read more 

Deep learning using electroencephalogram (EEG) data for diagnosing and predicting SSRI response in major depressive disorder.

Communications medicine
BACKGROUND: Major Depression (MDD) is a potentially life-threatening condition that ranks among the diseases with the highest global burden. Despite its prevalence, current diagnostic methods remain largely subjective, and first-line treatments exhib... read more 

Negligible impact of perifissural nodules in an AI-first reader workflow from UK lung screening trial.

European radiology
OBJECTIVE: To evaluate the effect of perifissural nodules (PFNs) on radiologist workload within an AI-first reader workflow for lung cancer screening, given that AI cannot morphologically classify benign PFNs measuring ≥ 100 mm3. MATERIALS AND METHOD... read more 

Machine learning modelling of a nonlinear environmental index with sensitivity analysis for groundwater assessment.

Scientific reports
The aim of this study was to evaluate groundwater quality the Marvdasht aquifer using the Groundwater Quality Index (GWQI), which was determined using a conventional method and also predicted using three machine learning algorithms: Artificial Neural... read more