Latest AI and machine learning research in colon cancer for healthcare professionals.
PURPOSE: Abnormal tissue detection is a prerequisite for medical image analysis and computer-aided d...
The aim of this study was to investigate the feasibility of deep learning (DL) based on multiparamet...
Deep Learning (DL) can predict biomarkers from cancer histopathology. Several clinically approved ap...
With advances in modern medicine, there is a constant need for accurate and up-to-date readily avail...
Robotic colorectal surgery represents a major technological advancement in the treatment of patients...
BACKGROUND & AIMS: Artificial intelligence (AI)-based optical diagnosis systems (CADx) have been dev...
Approximately 10% of submucosal invasive (T1) colorectal cancers demonstrate extraintestinal lymph n...
INTRODUCTION: Both artificial intelligence (AI) and distal attachment devices have been shown to imp...
BACKGROUND: The KangDuo surgical robot (KD-SR-01) was recently developed in China. This study aims t...
OBJECTIVES: This study aims to develop computer-aided detection (CAD) for colorectal cancer (CRC) us...
Through the capture of a target molecule at the metal surface with a highly confined electromagnetic...
Colorectal cancer (CRC) is a common malignancy involving multiple cellular components. The CRC tumor...
OBJECTIVE: Colorectal cancer (CRC) has a significant role in cancer-related mortality. Colonoscopy, ...
BACKGROUND AND AIMS: Randomized controlled trials (RCTs) have reported that artificial intelligence ...
With the rapid development of medical imaging technology and computer technology, the medical imagin...
BACKGROUND: Up to 45.9% of polyps are missed during colonoscopy, which is the major cause of post-co...
Characterization of gene regulatory mechanisms in cancer is a key task in cancer genomics. CCCTC-bin...
Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their siz...
Dysbiosis is associated with colorectal cancer (CRC) and adenomas (CRA). However, the robustness of...
MYC has been identified to profoundly influence a wide range of pathologic processes in cancers. How...
BACKGROUND: Accurate estimation of the long-term risk of recurrence in patients with non-metastatic ...