Latest AI and machine learning research in pathology for healthcare professionals.
To evaluate the diagnostic proficiency of well-established multimodal Large Language Models (LLMs)-s...
Cardiovascular diseases remain the leading cause of death worldwide, highlighting the need for non-i...
OBJECTIVES: To investigate mammographic features associated with high artificial intelligence (AI) r...
This study focuses on the fabrication and analysis of hybrid epoxy based composites using jute fiber...
We introduce a graph neural network framework that integrates density functional theory (DFT) calcul...
CONTEXT.—: Advances in computer vision have fueled the development of artificial intelligence (AI)-b...
Focused ultrasound (FUS) is an emerging therapeutic and diagnostic technology in neuro-oncology, off...
Extracellular vesicles (EVs) have emerged as promising biomarkers for liquid biopsy. However, their ...
Analysis of tumors using single-cell and spatial modalities is critical to advance our understanding...
BACKGROUND: Urogenital schistosomiasis caused by Schistosoma haematobium remains endemic in sub-Saha...
Hirschsprung disease (HD) is a congenital disorder characterized by the absence of ganglion cells in...
Breast cancer is a leading cause of mortality among women globally, highlighting the need for accura...
BACKGROUND: Artificial intelligence has significantly advanced computational pathology by enabling h...
Manual detection of breast cancer in histopathology images is a highly complex task due to variation...
Deep learning (DL) systems could improve diagnostic accuracy and efficiency in detecting cervical at...
BACKGROUND AND OBJECTIVE: Colon cancer (CC) is a highly prevalent malignant tumor with a high mortal...
PURPOSE: Quantifying collagen in histological slides is essential for diagnosing and monitoring fibr...
The global demographic shift toward aging has precipitated a surge in age-related ocular pathologies...
Molecular subtyping is essential for guiding systemic therapy in breast cancer but currently require...
AIM: To develop and validate a deep learning-based AI system for the dynamic, real-time differentiat...
Subepithelial lesions (SELs) of the gastrointestinal tract encompass a heterogeneous spectrum of his...