Artificial Intelligence Medical Compendium

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

Showing 25,011 to 25,020 of 217,472 articles

Ensemble machine learning framework with SHAP and LIME for accurate early prediction of student success in online learning environments.

Scientific reports
The development of digital learning environments has generated rich educational data capable of supporting early prediction of student outcomes. In this study, seven diverse datasets, spanning demographics, parental education, assessment history, and... read more 

Panoramic Insights: Predicting Age and Gender from Dental X-Rays Using Deep Learning Models.

Journal of imaging informatics in medicine
Age and gender estimation are crucial in forensic odontology for identification and legal purposes. Conventional methods utilizing manual interpretation like Demirjian's and Gustafson's techniques are labor-intensive and prone to observer bias. Deep ... read more 

Counterfactual Reasoning for Mammogram Classification via Semantic Texture Masking.

Journal of imaging informatics in medicine
Artificial intelligence-based computer-aided diagnosis (CADx) systems have seen growing adoption in mammography, yet the limited interpretability of their decision-making processes remains a barrier to clinical trust. The present study aimed to inves... read more 

[Artificial intelligence in internal medicine exemplified by cardiology].

Innere Medizin (Heidelberg, Germany)
Artificial intelligence (AI) is gaining importance in the field of cardiology. By analyzing complex multimodal data AI can support the diagnostic processes, risk stratification and making decisions. In cardiac imaging AI-based procedures improve the ... read more 

Active machine learning approach to adversarial training improves trade-off between natural accuracy and adversarial robustness.

Scientific reports
Understanding our world which is open and diverse requires foundation models that generalize well while trustworthy. Adversarial training has been considered to be one of the most effective strategies to achieve robust learning systems, yet adversari... read more 

Single-molecule localization and diffusivity microscopy reveals dynamic biomolecular organization in living cells.

Nature methods
Single-molecule tracking in living cells measures protein diffusivity but requires sparse imaging, limiting high-density mapping. Here we introduce single-molecule localization and diffusivity microscopy (SMLDM), a deep learning-based approach that a... read more 

The ubiquitin ligase FBXW7 regulates epithelial pyroptosis in severe asthma.

Inflammation research : official journal of the European Histamine Research Society ... [et al.]
BACKGROUND: Severe asthma is characterized by persistent airway inflammation and epithelial injury. Pyroptosis, a Caspase-1-dependent inflammatory cell death pathway, has been implicated in airway inflammation. FBXW7, an E3 ubiquitin ligase involved ... read more 

External validation of a machine learning model for delivery mode prediction after induction.

NPJ digital medicine
No machine learning (ML) models for predicting delivery mode after labor induction (IOL) have been externally validated. We aimed to develop and validate one using medical records. Portuguese tertiary center data (n = 2434) were used for development ... read more