This study investigates whether a brief educational intervention using Blink features can improve medical students' and non-GI trainees' ability to detect colorectal cancer in static polyp images. Secondary aims include evaluating changes in specificity, confidence, and interobserver agreement, determining which Blink features support accurate detection, and examining the link between the number of features recognized and diagnostic performance. The study will recruit medical students and non-GI trainees without prior training in polyp morphology or endoscopic image interpretation, who will complete an online pre- and post-intervention image-based survey.