Latest AI and machine learning research in colon cancer for healthcare professionals.
PURPOSE: Most recently transformer models became the state of the art in various medical image segme...
BACKGROUND: Early predictors of postoperative complications can risk-stratify patients undergoing co...
Screening for colorectal cancer (CRC) with colonoscopy has improved patient outcomes; however, it re...
BACKGROUND: Morphological properties such as length and tortuosity of the large intestine segments p...
Automatic mucosal lesion segmentation is a critical component in computer-aided clinical support sys...
Lung adenocarcinoma (LUAD) has a malignant characteristic that is highly aggressive and prone to met...
BACKGROUND AND AIMS: Computer-aided diagnosis (CADx) for the optical diagnosis of colorectal polyps ...
BACKGROUND AND AIM: There are no previous studies in which computer-aided diagnosis (CAD) diagnosed ...
Minimally invasive surgery is safe and effective in colorectal cancer. Conversion to open surgery ma...
BACKGROUND: The 8th AJCC TNM staging for non-metastatic lymph node-positive colon adenocarcinoma pat...
Colorectal cancer is one of the top contributors to cancer-related deaths in the United States, with...
OBJECTIVES: Colonoscopy (CS) is an important screening method for the early detection and removal of...
BACKGROUND: Colorectal cancer has a high incidence and mortality rate due to a low rate of early dia...
PURPOSE: Medical image analysis has become a prominent area where machine learning has been applied....
PURPOSE: To examine the ability of generative artificial intelligence (GAI) to answer patients' ques...
BACKGROUND: Machine Learning (ML) plays a crucial role in biomedical research. Nevertheless, it stil...
Postoperative ileus (POI) is a common complication after colorectal surgery, leading to increased h...
Although the U-shape networks have achieved remarkable performances in many medical image segmentati...
BACKGROUND: Artificial intelligence (AI) is increasingly entering and transforming not only medical ...
This study aims to develop a CT-based hybrid deep learning network to predict pathological subtypes ...
Non-small cell lung carcinoma (NSCLC) is the most common type of pulmonary cancer, one of the deadli...