Latest AI and machine learning research in colon cancer for healthcare professionals.
This study developed a new convolutional neural network model to detect and classify gastric lesions...
BACKGROUND: Current evidence about intraoperative anastomotic testing after left-sided colorectal re...
BACKGROUND AND AIM: Reliable bowel preparation assessment is important in colonoscopy. However, curr...
PURPOSE: To evaluate the diagnostic accuracy of computed tomography (CT)-based radiomic algorithms a...
BACKGROUND: To predict clinical important outcomes for colorectal liver metastases (CRLM) patients r...
PURPOSE: To assess the efficacy of machine learning and radiomics analysis by computed tomography (C...
This study aimed to develop and validate a nomogram based on immune checkpoint genes (ICGs) for pred...
BACKGROUND: Angiogenesis, the process of forming new blood vessels from pre-existing ones, plays a c...
The phosphorylation of different sites produces a significant effect on the conformational dynamics ...
The metabolic signature identification of colorectal cancer is critical for its early diagnosis and ...
BACKGROUND: Previous studies have largely neglected the role of sulfur metabolism in LUAD, and no st...
BACKGROUND: The KRAS, NRAS, and BRAF genotypes are critical for selecting targeted therapies for pat...
BACKGROUND AND STUDY AIM: High-definition virtual chromoendoscopy, along with targeted biopsies, is ...
PURPOSE: The debate surrounding factors influencing postoperative flatus and defecation in patients ...
Colorectal cancer (CRC) prevention requires early detection and removal of adenomas. We aimed to dev...
Using a systematic literature search of original articles published during 2023 in Gastrointestinal ...
Lactic acid (LA) accumulation in the tumor microenvironment poses notable challenges to effective tu...
BACKGROUND AND OBJECTIVES: Deep learning models (DLMs) are applied across domains of health sciences...
Lung diseases globally impose a significant pathological burden and mortality rate, particularly the...
BACKGROUND AND AIM: The study aims to introduce a novel indicator, effective withdrawal time (WTS), ...
Accurate medical image segmentation is an essential part of the medical image analysis process that ...