Artificial Intelligence Models Could Enhance the Diagnostic Accuracy (DA) of Fecal Immunochemical Test (FIT) in the Detection of Colorectal Adenoma in a Screening Setting (Anticancer Research)

A groundbreaking study highlights the potential of artificial intelligence (AI) in enhancing colorectal adenoma (CRA) detection through fecal immunochemical tests (FIT). Evaluating five AI models—logistic regression, support vector machine, neural network, random forest, and gradient boosting machine—the research demonstrated superior diagnostic accuracy (up to 85% sensitivity) compared to traditional methods. By integrating clinical data and FIT results, AI models like gradient boosting emerged as the most effective tools for improving early diagnosis and screening outcomes.