Latest AI and machine learning research in product alert for healthcare professionals.
Progression to dialysis or end-stage renal disease is a rare but clinically important outcome. Clini...
Graph neural networks achieve strong node-classification accuracy, but their learned message passing...
Metabolic dysfunction is increasingly recognized as a risk factor for poor outcomes in breast cancer...
Spatial transcriptomics (ST) enables spatially resolved gene profiling but remains expensive and low...
Timely and interpretable early warning of sepsis remains a major clinical challenge due to the compl...
Inadequate discharge communication is a well-documented contributor to medication non-adherence, mis...
Background: Current deep learning models in computational pathology, radiology, and digital patholog...
Generative object compositing methods have shown remarkable ability to seamlessly insert objects int...
Video depth estimation is essential for providing 3D scene structure in applications ranging from au...
Breath acetone represents a promising non-invasive biomarker for monitoring fat oxidation during exe...
Background Cardiovascular adverse events (CVAEs) after chemoradiotherapy (CRT) for lung cancer are m...
As vision-language models (VLMs) are increasingly deployed in clinical decision support, more than a...
An assumption often made in supervised learning is that the training and testing sets have the same ...
Background: The integration of artificial intelligence (AI) into clinical practice holds transformat...
Aims: Dynamic left ventricular outflow tract obstruction (LVOTO) is a hemodynamically significant co...
Background: The FDA Adverse Event Reporting System (FAERS) is a critical pillar of post-marketing ph...
Background: Large language models (LLMs) have been evaluated as tools to assist rare disease diagnos...
Accurate change detection from satellite imagery is essential for monitoring rapid mass-movement haz...
Out-of-distribution (OOD) detection aims to identify inputs that differ from the training distributi...
The Brain Tumor Reporting and Data System (BT-RADS) standardizes post-treatment MRI response assessm...
Natural language explanations provide an inherently human-understandable way to explain black-box mo...