Latest AI and machine learning research in colon cancer for healthcare professionals.
The transition from laparoscopic to robotic surgery for left-sided colorectal cancer raises safety concerns during the learning curve, particularly when complex cases are preferentially selected for the robotic platform. We evaluated a machine learning-based framework for risk-adjusted safety monitoring of robotic implementation, using outcomes from an established laparoscopic program as the refer...
BACKGROUND: Being involved in the occurrence of colorectal cancer (CRC), gut microbes are potential targets for early diagnosis of CRC. Defining the threshold of these characteristic bacteria could provide a basis for the clinical application of microorganisms as novel tumor markers for CRC. OBJECTIVE: To sort out and define the threshold of related bacteria and the ecological characteristics of g...
BACKGROUND/AIMS: Computer-aided polyp detection (CADe) systems can enhance polyp detection, although their performance has largely been evaluated at a...
Glandular segmentation holds significant importance in the pathological analysis of hematoxylin and eosin (H&E) stained images, particularly in the di...
PURPOSE: Accurate preoperative assessment of regional lymphatic metastases (LNM) is essential for effective surgical selection of patients with colore...
Prompt detection of colorectal polyps is essential for preventing colorectal cancer, a leading cause of cancer-related deaths worldwide. However, manu...
Protein arginine methyltransferase 5 (PRMT5) is a key epigenetic enzyme that catalyses symmetric arginine methylation on histone and non-histone prote...
Research on deep learning for medical image segmentation has shifted from single-modality networks to multimodal data fusion. Updating the parameters ...
BACKGROUND: Protocols for standardized assessment of complete colorectal polyp resection are lacking. This may contribute to divergent quality standar...
BACKGROUND AND AIMS: Ulcerative colitis (UC), a chronic inflammatory bowel disease, causes persistent mucosal inflammation and epithelial dysfunction....
Using a systematic literature search of original articles published during 2025 in Gastrointestinal Endoscopy (GIE) and other high-impact medical and ...
Artificial intelligence (AI) is reshaping population screening, yet the translation from laboratory performance to population benefit remains limited....
PURPOSE: This study aims to develop and evaluate a deep learning model, RectoDepthAI, that leverages enhanced CT images to accurately assess the tumor...
BACKGROUND: Lung adenocarcinoma (LUAD) remains a major clinical challenge in assessment of clinical outcomes and therapeutic response. Although tumor-...
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy. Accurate prognostic modeling enables reliable risk stratification to identi...
A machine learning-based pathomics model was investigated for its value and biological significance in predicting overall survival (OS) after surgery ...
Endoscopic ultrasound (EUS) has evolved from a diagnostic imaging tool into a versatile platform that enables high-precision access, sampling, and the...
Colorectal cancer incidence and mortality have declined over time, due in part to high-quality screening and surveillance colonoscopy. Nevertheless, p...
The colon is a major component of the digestive system, so early detection of colorectal polyps is essential in preventing colorectal cancer, which is...