Latest AI and machine learning research in colon cancer for healthcare professionals.
Colorectal cancer remains a major cause of cancer death and morbidity worldwide. Surgery is a major ...
PURPOSE: To calibrate Cancer Intervention and Surveillance Modeling Network (CISNET)'s SimCRC, MISCA...
Even though artificial intelligence and machine learning have demonstrated remarkable performances i...
Disulfidptosis represents a novel cell death mechanism triggered by disulfide stress, with potential...
BACKGROUND: Contrast-enhanced CT scans provide a means to detect unsuspected colorectal cancer. Howe...
Accurate, and objective diagnosis of brain injury remains challenging. This study evaluated useabili...
Deep learning has achieved immense success in computer vision and has the potential to help physicia...
AIM: The objective of this study was to create and authenticate a prognostic model for lymph node me...
OBJECTIVES: At present, there are many limitations in the evaluation of lymph node metastasis of lun...
INTRODUCTION: This study aimed to evaluate the accuracy of our own artificial intelligence (AI)-gene...
BACKGROUND: Anastomotic leakage (AL), a severe complication following colorectal surgery, arises fro...
Accumulating evidence demonstrates that lncRNAs are involved in the regulation of the immune microen...
Lung cancer is categorized into two main types: non-small cell lung cancer (NSCLC) and small cell lu...
BACKGROUND: Real-time prediction of histologic features of small colorectal polyps may prevent resec...
This study developed a new convolutional neural network model to detect and classify gastric lesions...
BACKGROUND AND AIM: Reliable bowel preparation assessment is important in colonoscopy. However, curr...
BACKGROUND: Current evidence about intraoperative anastomotic testing after left-sided colorectal re...
PURPOSE: To assess the efficacy of machine learning and radiomics analysis by computed tomography (C...
BACKGROUND: To predict clinical important outcomes for colorectal liver metastases (CRLM) patients r...
PURPOSE: To evaluate the diagnostic accuracy of computed tomography (CT)-based radiomic algorithms a...
This study aimed to develop and validate a nomogram based on immune checkpoint genes (ICGs) for pred...