Technology is changing how doctors detect colon cancer. New AI-enhanced imaging tools help physicians find subtle polyps that ...

Researchers have discovered that cancer spread isn’t random—it follows a kind of biological “program.” By studying colon ...

An example of an AI system enhancing colonoscopy care at BHS is called GI Genius. This computer-aided detection tool assists gastroenterologists in identifying polyps during colonoscopies, providing a ...

Lunit’s SCOPE IO artificial intelligence (AI)-based pathology platform has demonstrated its ability to generate biomarkers that predict patients’ response to immunotherapy across cancer types. Data ...

People with ulcerative colitis (UC), a chronic inflammatory bowel disease, are up to four times more likely to develop colorectal cancer than the general population. Low‑grade dysplasia (LGD) - ...

A recent study reveals that integrating Artificial Intelligence (AI) into colon cancer diagnosis over the past five years has significantly improved the speed and accuracy of the detection of the ...

Recent research provides robust evidence for the use of a digital visualization and decision support tool in colorectal (bowel) surgery. This is the first time that a digital decision support tool has ...

Figure 1: LASSO feature ranking and SHAP explanatory for Cases 1, 2, and 3 feature selection models. A positive SHAP value indicates a positive impact on prediction, leading the model to predict 1 ...

Artificial intelligence (AI) can predict how well patients with rectal cancer will respond to treatment by analyzing standard tissue samples taken during diagnosis, finds a new study from researchers ...