Artificial Intelligence Medical Compendium

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

Showing 34,991 to 35,000 of 221,633 articles

Contrast-Enhanced VM-UNet for Thyroid Nodule Segmentation Based on Wavelet Features and Dual-Branch Edge Learning.

Journal of imaging informatics in medicine
Accurate segmentation of thyroid nodules from ultrasound images is critical for clinical diagnosis and treatment, as manual analysis is labor-intensive and subject to inter-observer variability. However, existing models often struggle with edge detai... read more 

Residual Conditional Variational Autoencoder for Multi-Center PET/CT Radiomic Feature Harmonization with Integrated Modeling of Batch Effects and Clinical Covariates.

Journal of imaging informatics in medicine
This study proposes a Residual Conditional Variational Autoencoder model (ResCVAE-Harmonizer) that integrates batch information and clinical covariates for multi-center feature harmonization and systematically and comprehensively evaluates its harmon... read more 

Deep learning-based phishing classification framework for accurate detection using optimized URL intelligence.

Scientific reports
The proliferation of internet services has exposed customers to phishing attempts that steal sensitive information via false URLs. Intelligent categorization systems are required to tackle dynamic phishing techniques, which defy rule- and signature-b... read more 

Topology modeling and energy efficiency prediction of parallel chillers based on deep learning.

Scientific reports
To address the insufficient energy efficiency prediction accuracy caused by topological coupling in the parallel operation of multiple chillers, this study proposes a physics-guided spatiotemporal fusion model combining Long Short-Term Memory (LSTM) ... read more 

CREsted: modeling genomic and synthetic cell-type-specific enhancers across tissues and species.

Nature methods
Sequence-based deep learning models have become the state of the art for analyzing the genomic regulatory code. Particularly for enhancers, these models excel at deciphering sequence grammar that underlies their activity. To enable end-to-end enhance... read more