Latest AI and machine learning research in colon cancer for healthcare professionals.
Cancer registries collect multiple reports describing the same tumor, potentially leading to duplica...
Pre-training on image-text colonoscopy records offers substantial potential for improving endoscop...
PURPOSE: Colorectal cancer (CRC) is the second leading cause of cancer-related deaths worldwide, and...
Malignant pleural effusions (MPEs) are common in advanced lung cancer patients. Cytological examina...
Given the growing burden of colorectal cancer (CRC) as a global health challenge, it becomes imperat...
Lung adenocarcinoma (LUAD) is a leading cause of cancer-related mortality, with heme metabolism play...
BACKGROUND: Artificial intelligence enables automated three-dimensional (3D) volumetric body composi...
Cancer engineering for tumor normalization offers a promising therapeutic strategy to reverse malign...
Colorectal liver metastasis (CRLM) is a primary factor contributing to poor prognosis and metastasis...
The growing burden of cancer and recent surge in healthcare data availability call for new ways of a...
BACKGROUND/OBJECTIVES: Artificial intelligence (AI) algorithms for diagnosing colorectal polyps are ...
OBJECTIVE: Microsatellite instability (MSI) is a novel predictive biomarker for chemotherapy and imm...
Pancreatic cancer (PC) remains one of the most lethal malignancies, primarily due to its poor progno...
Convolutional neural network (CNN) and Transformer-based architectures are two dominant deep learn...
Colorectal cancer liver metastasis (CRLM) remains the leading cause of mortality among colorectal ca...
The generation of realistic medical images from text descriptions has significant potential to add...
Colorectal cancer is one of the deadliest cancers today, but it can be prevented through early det...
BACKGROUND: The objective of this study was to evaluate the concordance between therapeutic recommen...
We propose a multimodal spatiotemporal graph neural network (STG) framework to predict colorectal ...
Text-to-image (T2I) diffusion models have rapidly advanced, enabling high-quality image generation...
Automatic segmentation of anatomical landmarks in endoscopic images can provide assistance to doct...